oneclick

Summary

EFA

#Preparation ## Loading Required Packages

library(png)
library(psych)
library(EFA.dimensions)
library(imager) #install XQuartz

## Loading required package: magrittr

## 
## Attaching package: 'imager'

## The following object is masked from 'package:magrittr':
## 
##     add

## The following objects are masked from 'package:stats':
## 
##     convolve, spectrum

## The following object is masked from 'package:graphics':
## 
##     frame

## The following object is masked from 'package:base':
## 
##     save.image

library(corrplot)

## corrplot 0.92 loaded

library(knitr)
library(kableExtra) #choose “no” when installing
library(xtable)

## 
## Attaching package: 'xtable'

## The following objects are masked from 'package:imager':
## 
##     display, label

library(dplyr)

## 
## Attaching package: 'dplyr'

## The following object is masked from 'package:kableExtra':
## 
##     group_rows

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

library(tibble)
library(ggplot2)

## 
## Attaching package: 'ggplot2'

## The following objects are masked from 'package:psych':
## 
##     %+%, alpha

Loading Required Files

participantResponseFiles <- list.files(path= "./03_EFA/data",pattern = "\\.csv$") #names correspond to images, one participant per row, one word per column
imageFiles <- list.files(path= "./03_EFA/images",pattern = "\\.png$")

Helper Methods

#Clean the column names
cleanColnames <- function(data){
  newNames <- gsub("^.+?\\.(.+?)\\..*$", "\\1", colnames(data))
  return(newNames)
}

Methods Used in the Analysis

Methods to Test the Appropriateness of the Data for EFA

Correlation

“A subjective method is to examine the correlation matrix. A sizable number of correlations should exceed ±.30 or EFA may be inappropriate”

correlation <- function(num,data){
  return(cor(data))
}

Bartlett’s test of sphericity

An objective test of the factorability of the correlation matrix is Bartlett’s (1954) test of sphericity, which statistically tests the hypothesis that the correlation matrix contains ones on the diagonal and zeros on the off-diagonals. Hence, that it was generated by random data. This test should produce a statistically significant chi-square value to justify the application of EFA.

If the p-value from Bartlett’s Test of Sphericity is lower than our chosen significance level (common choices are 0.10, 0.05, and 0.01), then our dataset is suitable for a data reduction technique. (https://www.statology.org/bartletts-test-of-sphericity/)

bartlettTest <- function(num,data){
  bart <- cortest.bartlett(correlation(num,data), n = nrow(data))
  if(bart[2]>0.05) cat("WARNING the p value is above 0.05") else cat("The p value is below 0.05. We are good to continue.")
  cat("\n\n")
  print(bart)
  return(bart)
}

KMO

Large sample sizes make the Bartlett test sensitive to even trivial deviations from randomness, so its results should be supplemented with a measure of sampling adequacy. The Kaiser-Meyer-Olkin (KMO; Kaiser, 1974) measure of sampling adequacy is the ratio of correlations and partial correlations that reflects the extent to which correlations are a function of the variance shared across all variables rather than the variance shared by particular pairs of variables. KMO values range from 0.00 to 1.00 and can be computed for the total correlation matrix as well as for each measured variable.

• KMO values ≥.70 are desired
• KMO values ≤.50 are generally considered unacceptable

KMOTest <- function(num,data){
  kmo <- KMO(data)
  cat(paste("The overall measure of sampling adequacy is: ",kmo[1]))
   cat("\n\n")
  if(kmo[1]<.7) cat("WARNING the sampling adequacy has dropped below 0.7") else cat("The sampling adequacy is above 0.7. We are generally good.")
  cat("\n\n")
  return(kmo)
}

The Number of Factors to Retain

Measurement specialists have conducted simulation studies and concluded that parallel analysis and MAP are the most accurate empirical estimates of the number of factors to retain and that scree is a useful subjective adjunct to the empirical estimates. Unfortunately, no method has been found to be correct in all situations, so it is necessary to employ multiple methods and carefully judge each plausible solution to identify the most appropriate factor solution.

parallelAnalysis <- function(num,data){
  
  cairo_pdf(paste(paste("results/ScreePlot-Image_",num,sep=""),'.pdf'), width=8, height=4)
  parallel <- fa.parallel(correlation(num,data), n.obs=nrow(data), fa="fa", n.iter=100, main="Scree plots with parallel analysis")
  nfact <- parallel$nfact
  
  dev.off() 
  cat("\n\n")
  return(nfact)
}

EFA

Model of Factor Analysis

• two models: PCA, common factor analysis
• When the goal of research is to identify latent constructs for theory building or to create measurement instruments in which the researcher wishes to make the case that the resulting measurement instrument reflects a meaningful underlying construct, we argue that common factor analysis (EFA) procedures are usually preferable.
• this distinction may make little difference when there are ≥40 measured variables

Estimation Method

• two estimation methods: ML and PA
• Statistical simulations have found that PA outperforms ML when the relationships between measured variables and factors are relatively weak (≤.40), sample size is relatively small (≤300), multivariate normality is violated, or when the number of factors underlying the measured variables is misspecified

EFA <- function(num, factor, rotation,data){
  efa <- fa(correlation(num,data), nfactors = factor, rotate = rotation, fm = "pa")
  
  #print(xtable(unclass(efa$Structure)),type="html")
  print(efa,sort=TRUE)
  #fa.diagram(efa,cut=.4,digits=2) #I don't fint this diagram particularly useful
  return(efa)
}

Analyzing Participant Responses Per Image

analyze_image <-function(num){
  #First we plot the image that we are analyzing first

  image <- load.image(paste("03_EFA/images/",imageFiles[[num]],sep=""))
  plot(image)
  cat("\n\n")
  
  data <- read.csv(paste("03_EFA/data/",participantResponseFiles[[num]],sep=""), encoding="UTF-8")
  colnames(data) <- cleanColnames(data)

   #Then we go through the analysis steps. These are explained in detail above
   #1. Correlation
  # cat("### Correlation\n")
  # corr <- correlation(num,data)
  # pdf(paste(paste("generatedPlots-EFA/CorrelationMatrix-Image_",num,sep=""),'.pdf'), width=8, height=4)
  #   corrplot(corr, method="square",tl.col="black",title=paste("Correlation for Image ",num),number.cex = 0.5)
  # dev.off()
  # cat("\n\n")
  # 
  # cat("### Bartlett’s test of sphericity\n")
  # bartlettTest(num,data)
  # cat("\n\n")
  # 
  # cat("### KMO\n")
  # KMOTest(num,data)
  # cat("\n\n")
 
  cat("## Scree Plot and Parallel Analysis\n")
  nfact <- parallelAnalysis(num,data) #number of factors
  cat("\n\n")

  cat("## Exploratory Factor Analysis - 1 Factor - No Rotation\n")
  efa_1factor <- EFA(num, 1, "none",data)
  cat("\n\n")

  #Exploratory Analyses below here
  cat("## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)\n")
  efa_2factors_varimax <- EFA(num, 2, "varimax",data )
  cat("\n\n")

  cat("## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)\n")
  efa_2factors_promax <- EFA(num, 2, "promax",data )
  cat("\n\n")
  
  efa <- list(efa_1factor, efa_2factors_varimax, efa_2factors_promax, nfact)
  
  return(efa)
}

EFA Results for all images

imageCount <- length(participantResponseFiles)
# For debugging we can set the imageCount to whatever we want
#imageCount <- 1

df <- NULL

#number of factors suggested by parallel analysis
list_nfactor <- NULL
df_nfactor <- data.frame(matrix(ncol = 15, nrow = 0))
list_nfactor_column_name <- NULL

for (i in 1:imageCount){
  list_df_nfactor_column_name <- c(list_nfactor_column_name, paste("image", i))
  
   cat(paste(paste("## Image ",i),"\n"))
   
   #efa_1factor
   efa_1factor <- analyze_image(i)[[1]] #we want to create a big table with all the factor loadings so we'll save the efa results here
   data <- NULL
   loadings <- as.data.frame(unclass(efa_1factor$loadings))
   h2 <- efa_1factor$communality
   u2 <- efa_1factor$uniquenesses
   com <- efa_1factor$complexity
   data <- cbind(loadings, h2, u2, com)
   data <- tibble::rownames_to_column(data,"terms")
   data <- data %>% 
 mutate_if(is.numeric, round, digits=2)
   data <- data %>% mutate_at(vars(com), funs(round(., 1)))

   write.table(data, paste("results/efa_1factor_image",i,".tsv",sep=""),row.names=FALSE,sep='\t') #create factor loading table
   
   #efa_2factors_varimax
   efa_2factors_varimax <- analyze_image(i)[[2]]
    data <- NULL
   loadings <- as.data.frame(unclass(efa_2factors_varimax$loadings))
   h2 <- efa_2factors_varimax$communality
   u2 <- efa_2factors_varimax$uniquenesses
   com <- efa_2factors_varimax$complexity
   data <- cbind(loadings, h2, u2, com)
   data <- tibble::rownames_to_column(data,"terms")
   data <- data %>% 
 mutate_if(is.numeric, round, digits=2)
   data <- data %>% mutate_at(vars(com), funs(round(., 1)))

   write.table(data, paste("results/efa_2factors_varimax_image",i,".tsv",sep=""),row.names=FALSE,sep='\t')
   
   #efa_2factors_promax
   efa_2factors_promax <- analyze_image(i)[[3]]
    data <- NULL
   loadings <- as.data.frame(unclass(efa_2factors_promax$loadings))
   h2 <- efa_2factors_promax$communality
   u2 <- efa_2factors_promax$uniquenesses
   com <- efa_2factors_promax$complexity
   data <- cbind(loadings, h2, u2, com)
   data <- tibble::rownames_to_column(data,"terms")
   data <- data %>% 
 mutate_if(is.numeric, round, digits=2)
   data <- data %>% mutate_at(vars(com), funs(round(., 1)))

   write.table(data, paste("results/efa_2factors_promax_image",i,".tsv",sep=""),row.names=FALSE,sep='\t')
   
   #number of factors
   nfact <- analyze_image(i)[[4]]
   list_nfactor <- c(list_nfactor, nfact)
   
   
   efa_1factor <- analyze_image(i)[[1]]
   if(i == 1){
      df <- as.data.frame(unclass(efa_1factor$loadings))
      colnames(df) <- c(paste("PA1 Image ",i))
      df <- tibble::rownames_to_column(df,"terms")
      
   }
   else{
      dftemp <- as.data.frame(unclass(efa_1factor$loadings))
      colnames(dftemp) <- c(paste("PA1 Image ",i))
      dftemp <- tibble::rownames_to_column(dftemp,"terms")
      df <- merge(df,dftemp,by="terms")
   }
}

## ## Image  1

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## likable         19 0.91 0.820 0.18   1
## nice            22 0.90 0.818 0.18   1
## enjoyable       13 0.87 0.764 0.24   1
## delightful      10 0.86 0.731 0.27   1
## pleasing        24 0.85 0.721 0.28   1
## appealing        1 0.85 0.719 0.28   1
## pretty          25 0.85 0.716 0.28   1
## lovely          20 0.85 0.716 0.28   1
## beautiful        5 0.84 0.707 0.29   1
## attractive       3 0.84 0.707 0.29   1
## elegant         11 0.83 0.696 0.30   1
## inviting        18 0.83 0.694 0.31   1
## exciting        14 0.79 0.625 0.38   1
## engaging        12 0.79 0.624 0.38   1
## harmonious      16 0.79 0.621 0.38   1
## tasteful        30 0.78 0.615 0.38   1
## satisfying      28 0.77 0.597 0.40   1
## wellDesigned    31 0.76 0.578 0.42   1
## motivating      21 0.74 0.549 0.45   1
## clean            6 0.73 0.527 0.47   1
## interesting     17 0.70 0.495 0.51   1
## balanced         4 0.69 0.480 0.52   1
## sophisticated   29 0.68 0.467 0.53   1
## fascinating     15 0.68 0.458 0.54   1
## colorHarmonious  8 0.65 0.427 0.57   1
## professional    26 0.63 0.400 0.60   1
## organized       23 0.59 0.348 0.65   1
## creative         9 0.53 0.284 0.72   1
## artistic         2 0.52 0.268 0.73   1
## cluttered        7 0.30 0.093 0.91   1
## provoking       27 0.17 0.029 0.97   1
## 
##                  PA1
## SS loadings    17.29
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.91
## The degrees of freedom for the model are 434  and the objective function was  5.64 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2    h2   u2 com
## clean              6  0.79 0.20 0.671 0.33 1.1
## balanced           4  0.78 0.17 0.630 0.37 1.1
## organized         23  0.72 0.07 0.530 0.47 1.0
## wellDesigned      31  0.69 0.37 0.609 0.39 1.5
## harmonious        16  0.69 0.41 0.640 0.36 1.6
## nice              22  0.68 0.59 0.817 0.18 2.0
## elegant           11  0.68 0.48 0.702 0.30 1.8
## inviting          18  0.68 0.48 0.700 0.30 1.8
## professional      26  0.67 0.20 0.485 0.52 1.2
## likable           19  0.66 0.62 0.820 0.18 2.0
## delightful        10  0.64 0.56 0.730 0.27 2.0
## lovely            20  0.63 0.57 0.714 0.29 2.0
## tasteful          30  0.61 0.49 0.615 0.39 1.9
## appealing          1  0.61 0.59 0.720 0.28 2.0
## pleasing          24  0.61 0.60 0.723 0.28 2.0
## motivating        21  0.60 0.43 0.553 0.45 1.8
## beautiful          5  0.60 0.59 0.710 0.29 2.0
## attractive         3  0.60 0.59 0.710 0.29 2.0
## engaging          12  0.58 0.54 0.624 0.38 2.0
## sophisticated     29  0.55 0.41 0.468 0.53 1.9
## colorHarmonious    8  0.52 0.40 0.428 0.57 1.9
## cluttered          7  0.35 0.05 0.129 0.87 1.0
## interesting       17  0.28 0.76 0.655 0.34 1.3
## fascinating       15  0.30 0.69 0.568 0.43 1.4
## exciting          14  0.47 0.67 0.669 0.33 1.8
## enjoyable         13  0.61 0.63 0.769 0.23 2.0
## creative           9  0.17 0.62 0.416 0.58 1.2
## artistic           2  0.16 0.61 0.399 0.60 1.1
## pretty            25  0.60 0.60 0.720 0.28 2.0
## satisfying        28  0.54 0.55 0.600 0.40 2.0
## provoking         27 -0.01 0.27 0.073 0.93 1.0
## 
##                         PA1  PA2
## SS loadings           10.49 8.10
## Proportion Var         0.34 0.26
## Cumulative Var         0.34 0.60
## Proportion Explained   0.56 0.44
## Cumulative Proportion  0.56 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.91
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.94 0.92
## Multiple R square of scores with factors          0.88 0.85
## Minimum correlation of possible factor scores     0.77 0.70
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)

## Loading required namespace: GPArotation

## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## clean              6  0.95 -0.19 0.671 0.33 1.1
## balanced           4  0.94 -0.22 0.630 0.37 1.1
## organized         23  0.93 -0.32 0.530 0.47 1.2
## professional      26  0.78 -0.12 0.485 0.52 1.0
## wellDesigned      31  0.71  0.09 0.609 0.39 1.0
## harmonious        16  0.68  0.15 0.640 0.36 1.1
## elegant           11  0.64  0.25 0.702 0.30 1.3
## inviting          18  0.63  0.25 0.700 0.30 1.3
## nice              22  0.58  0.39 0.817 0.18 1.8
## motivating        21  0.56  0.23 0.553 0.45 1.3
## delightful        10  0.53  0.38 0.730 0.27 1.8
## tasteful          30  0.53  0.31 0.615 0.39 1.6
## likable           19  0.53  0.44 0.820 0.18 1.9
## lovely            20  0.51  0.39 0.714 0.29 1.9
## sophisticated     29  0.49  0.24 0.468 0.53 1.4
## appealing          1  0.47  0.44 0.720 0.28 2.0
## pleasing          24  0.47  0.45 0.723 0.28 2.0
## colorHarmonious    8  0.47  0.23 0.428 0.57 1.5
## engaging          12  0.46  0.39 0.624 0.38 1.9
## beautiful          5  0.46  0.45 0.710 0.29 2.0
## attractive         3  0.46  0.45 0.710 0.29 2.0
## cluttered          7  0.44 -0.13 0.129 0.87 1.2
## interesting       17 -0.06  0.85 0.655 0.34 1.0
## fascinating       15  0.01  0.74 0.568 0.43 1.0
## creative           9 -0.12  0.73 0.416 0.58 1.1
## artistic           2 -0.13  0.72 0.399 0.60 1.1
## exciting          14  0.24  0.63 0.669 0.33 1.3
## enjoyable         13  0.46  0.49 0.769 0.23 2.0
## pretty            25  0.45  0.46 0.720 0.28 2.0
## satisfying        28  0.41  0.42 0.600 0.40 2.0
## provoking         27 -0.17  0.37 0.073 0.93 1.4
## 
##                         PA1  PA2
## SS loadings           11.05 7.54
## Proportion Var         0.36 0.24
## Cumulative Var         0.36 0.60
## Proportion Explained   0.59 0.41
## Cumulative Proportion  0.59 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.73
## PA2 0.73 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.91
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.92 0.87

## Warning: `funs()` was deprecated in dplyr 0.8.0.
## Please use a list of either functions or lambdas: 
## 
##   # Simple named list: 
##   list(mean = mean, median = median)
## 
##   # Auto named with `tibble::lst()`: 
##   tibble::lst(mean, median)
## 
##   # Using lambdas
##   list(~ mean(., trim = .2), ~ median(., na.rm = TRUE))
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was generated.

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## likable         19 0.91 0.820 0.18   1
## nice            22 0.90 0.818 0.18   1
## enjoyable       13 0.87 0.764 0.24   1
## delightful      10 0.86 0.731 0.27   1
## pleasing        24 0.85 0.721 0.28   1
## appealing        1 0.85 0.719 0.28   1
## pretty          25 0.85 0.716 0.28   1
## lovely          20 0.85 0.716 0.28   1
## beautiful        5 0.84 0.707 0.29   1
## attractive       3 0.84 0.707 0.29   1
## elegant         11 0.83 0.696 0.30   1
## inviting        18 0.83 0.694 0.31   1
## exciting        14 0.79 0.625 0.38   1
## engaging        12 0.79 0.624 0.38   1
## harmonious      16 0.79 0.621 0.38   1
## tasteful        30 0.78 0.615 0.38   1
## satisfying      28 0.77 0.597 0.40   1
## wellDesigned    31 0.76 0.578 0.42   1
## motivating      21 0.74 0.549 0.45   1
## clean            6 0.73 0.527 0.47   1
## interesting     17 0.70 0.495 0.51   1
## balanced         4 0.69 0.480 0.52   1
## sophisticated   29 0.68 0.467 0.53   1
## fascinating     15 0.68 0.458 0.54   1
## colorHarmonious  8 0.65 0.427 0.57   1
## professional    26 0.63 0.400 0.60   1
## organized       23 0.59 0.348 0.65   1
## creative         9 0.53 0.284 0.72   1
## artistic         2 0.52 0.268 0.73   1
## cluttered        7 0.30 0.093 0.91   1
## provoking       27 0.17 0.029 0.97   1
## 
##                  PA1
## SS loadings    17.29
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.91
## The degrees of freedom for the model are 434  and the objective function was  5.64 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2    h2   u2 com
## clean              6  0.79 0.20 0.671 0.33 1.1
## balanced           4  0.78 0.17 0.630 0.37 1.1
## organized         23  0.72 0.07 0.530 0.47 1.0
## wellDesigned      31  0.69 0.37 0.609 0.39 1.5
## harmonious        16  0.69 0.41 0.640 0.36 1.6
## nice              22  0.68 0.59 0.817 0.18 2.0
## elegant           11  0.68 0.48 0.702 0.30 1.8
## inviting          18  0.68 0.48 0.700 0.30 1.8
## professional      26  0.67 0.20 0.485 0.52 1.2
## likable           19  0.66 0.62 0.820 0.18 2.0
## delightful        10  0.64 0.56 0.730 0.27 2.0
## lovely            20  0.63 0.57 0.714 0.29 2.0
## tasteful          30  0.61 0.49 0.615 0.39 1.9
## appealing          1  0.61 0.59 0.720 0.28 2.0
## pleasing          24  0.61 0.60 0.723 0.28 2.0
## motivating        21  0.60 0.43 0.553 0.45 1.8
## beautiful          5  0.60 0.59 0.710 0.29 2.0
## attractive         3  0.60 0.59 0.710 0.29 2.0
## engaging          12  0.58 0.54 0.624 0.38 2.0
## sophisticated     29  0.55 0.41 0.468 0.53 1.9
## colorHarmonious    8  0.52 0.40 0.428 0.57 1.9
## cluttered          7  0.35 0.05 0.129 0.87 1.0
## interesting       17  0.28 0.76 0.655 0.34 1.3
## fascinating       15  0.30 0.69 0.568 0.43 1.4
## exciting          14  0.47 0.67 0.669 0.33 1.8
## enjoyable         13  0.61 0.63 0.769 0.23 2.0
## creative           9  0.17 0.62 0.416 0.58 1.2
## artistic           2  0.16 0.61 0.399 0.60 1.1
## pretty            25  0.60 0.60 0.720 0.28 2.0
## satisfying        28  0.54 0.55 0.600 0.40 2.0
## provoking         27 -0.01 0.27 0.073 0.93 1.0
## 
##                         PA1  PA2
## SS loadings           10.49 8.10
## Proportion Var         0.34 0.26
## Cumulative Var         0.34 0.60
## Proportion Explained   0.56 0.44
## Cumulative Proportion  0.56 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.91
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.94 0.92
## Multiple R square of scores with factors          0.88 0.85
## Minimum correlation of possible factor scores     0.77 0.70
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## clean              6  0.95 -0.19 0.671 0.33 1.1
## balanced           4  0.94 -0.22 0.630 0.37 1.1
## organized         23  0.93 -0.32 0.530 0.47 1.2
## professional      26  0.78 -0.12 0.485 0.52 1.0
## wellDesigned      31  0.71  0.09 0.609 0.39 1.0
## harmonious        16  0.68  0.15 0.640 0.36 1.1
## elegant           11  0.64  0.25 0.702 0.30 1.3
## inviting          18  0.63  0.25 0.700 0.30 1.3
## nice              22  0.58  0.39 0.817 0.18 1.8
## motivating        21  0.56  0.23 0.553 0.45 1.3
## delightful        10  0.53  0.38 0.730 0.27 1.8
## tasteful          30  0.53  0.31 0.615 0.39 1.6
## likable           19  0.53  0.44 0.820 0.18 1.9
## lovely            20  0.51  0.39 0.714 0.29 1.9
## sophisticated     29  0.49  0.24 0.468 0.53 1.4
## appealing          1  0.47  0.44 0.720 0.28 2.0
## pleasing          24  0.47  0.45 0.723 0.28 2.0
## colorHarmonious    8  0.47  0.23 0.428 0.57 1.5
## engaging          12  0.46  0.39 0.624 0.38 1.9
## beautiful          5  0.46  0.45 0.710 0.29 2.0
## attractive         3  0.46  0.45 0.710 0.29 2.0
## cluttered          7  0.44 -0.13 0.129 0.87 1.2
## interesting       17 -0.06  0.85 0.655 0.34 1.0
## fascinating       15  0.01  0.74 0.568 0.43 1.0
## creative           9 -0.12  0.73 0.416 0.58 1.1
## artistic           2 -0.13  0.72 0.399 0.60 1.1
## exciting          14  0.24  0.63 0.669 0.33 1.3
## enjoyable         13  0.46  0.49 0.769 0.23 2.0
## pretty            25  0.45  0.46 0.720 0.28 2.0
## satisfying        28  0.41  0.42 0.600 0.40 2.0
## provoking         27 -0.17  0.37 0.073 0.93 1.4
## 
##                         PA1  PA2
## SS loadings           11.05 7.54
## Proportion Var         0.36 0.24
## Cumulative Var         0.36 0.60
## Proportion Explained   0.59 0.41
## Cumulative Proportion  0.59 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.73
## PA2 0.73 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.91
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.92 0.87

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## likable         19 0.91 0.820 0.18   1
## nice            22 0.90 0.818 0.18   1
## enjoyable       13 0.87 0.764 0.24   1
## delightful      10 0.86 0.731 0.27   1
## pleasing        24 0.85 0.721 0.28   1
## appealing        1 0.85 0.719 0.28   1
## pretty          25 0.85 0.716 0.28   1
## lovely          20 0.85 0.716 0.28   1
## beautiful        5 0.84 0.707 0.29   1
## attractive       3 0.84 0.707 0.29   1
## elegant         11 0.83 0.696 0.30   1
## inviting        18 0.83 0.694 0.31   1
## exciting        14 0.79 0.625 0.38   1
## engaging        12 0.79 0.624 0.38   1
## harmonious      16 0.79 0.621 0.38   1
## tasteful        30 0.78 0.615 0.38   1
## satisfying      28 0.77 0.597 0.40   1
## wellDesigned    31 0.76 0.578 0.42   1
## motivating      21 0.74 0.549 0.45   1
## clean            6 0.73 0.527 0.47   1
## interesting     17 0.70 0.495 0.51   1
## balanced         4 0.69 0.480 0.52   1
## sophisticated   29 0.68 0.467 0.53   1
## fascinating     15 0.68 0.458 0.54   1
## colorHarmonious  8 0.65 0.427 0.57   1
## professional    26 0.63 0.400 0.60   1
## organized       23 0.59 0.348 0.65   1
## creative         9 0.53 0.284 0.72   1
## artistic         2 0.52 0.268 0.73   1
## cluttered        7 0.30 0.093 0.91   1
## provoking       27 0.17 0.029 0.97   1
## 
##                  PA1
## SS loadings    17.29
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.91
## The degrees of freedom for the model are 434  and the objective function was  5.64 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2    h2   u2 com
## clean              6  0.79 0.20 0.671 0.33 1.1
## balanced           4  0.78 0.17 0.630 0.37 1.1
## organized         23  0.72 0.07 0.530 0.47 1.0
## wellDesigned      31  0.69 0.37 0.609 0.39 1.5
## harmonious        16  0.69 0.41 0.640 0.36 1.6
## nice              22  0.68 0.59 0.817 0.18 2.0
## elegant           11  0.68 0.48 0.702 0.30 1.8
## inviting          18  0.68 0.48 0.700 0.30 1.8
## professional      26  0.67 0.20 0.485 0.52 1.2
## likable           19  0.66 0.62 0.820 0.18 2.0
## delightful        10  0.64 0.56 0.730 0.27 2.0
## lovely            20  0.63 0.57 0.714 0.29 2.0
## tasteful          30  0.61 0.49 0.615 0.39 1.9
## appealing          1  0.61 0.59 0.720 0.28 2.0
## pleasing          24  0.61 0.60 0.723 0.28 2.0
## motivating        21  0.60 0.43 0.553 0.45 1.8
## beautiful          5  0.60 0.59 0.710 0.29 2.0
## attractive         3  0.60 0.59 0.710 0.29 2.0
## engaging          12  0.58 0.54 0.624 0.38 2.0
## sophisticated     29  0.55 0.41 0.468 0.53 1.9
## colorHarmonious    8  0.52 0.40 0.428 0.57 1.9
## cluttered          7  0.35 0.05 0.129 0.87 1.0
## interesting       17  0.28 0.76 0.655 0.34 1.3
## fascinating       15  0.30 0.69 0.568 0.43 1.4
## exciting          14  0.47 0.67 0.669 0.33 1.8
## enjoyable         13  0.61 0.63 0.769 0.23 2.0
## creative           9  0.17 0.62 0.416 0.58 1.2
## artistic           2  0.16 0.61 0.399 0.60 1.1
## pretty            25  0.60 0.60 0.720 0.28 2.0
## satisfying        28  0.54 0.55 0.600 0.40 2.0
## provoking         27 -0.01 0.27 0.073 0.93 1.0
## 
##                         PA1  PA2
## SS loadings           10.49 8.10
## Proportion Var         0.34 0.26
## Cumulative Var         0.34 0.60
## Proportion Explained   0.56 0.44
## Cumulative Proportion  0.56 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.91
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.94 0.92
## Multiple R square of scores with factors          0.88 0.85
## Minimum correlation of possible factor scores     0.77 0.70
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## clean              6  0.95 -0.19 0.671 0.33 1.1
## balanced           4  0.94 -0.22 0.630 0.37 1.1
## organized         23  0.93 -0.32 0.530 0.47 1.2
## professional      26  0.78 -0.12 0.485 0.52 1.0
## wellDesigned      31  0.71  0.09 0.609 0.39 1.0
## harmonious        16  0.68  0.15 0.640 0.36 1.1
## elegant           11  0.64  0.25 0.702 0.30 1.3
## inviting          18  0.63  0.25 0.700 0.30 1.3
## nice              22  0.58  0.39 0.817 0.18 1.8
## motivating        21  0.56  0.23 0.553 0.45 1.3
## delightful        10  0.53  0.38 0.730 0.27 1.8
## tasteful          30  0.53  0.31 0.615 0.39 1.6
## likable           19  0.53  0.44 0.820 0.18 1.9
## lovely            20  0.51  0.39 0.714 0.29 1.9
## sophisticated     29  0.49  0.24 0.468 0.53 1.4
## appealing          1  0.47  0.44 0.720 0.28 2.0
## pleasing          24  0.47  0.45 0.723 0.28 2.0
## colorHarmonious    8  0.47  0.23 0.428 0.57 1.5
## engaging          12  0.46  0.39 0.624 0.38 1.9
## beautiful          5  0.46  0.45 0.710 0.29 2.0
## attractive         3  0.46  0.45 0.710 0.29 2.0
## cluttered          7  0.44 -0.13 0.129 0.87 1.2
## interesting       17 -0.06  0.85 0.655 0.34 1.0
## fascinating       15  0.01  0.74 0.568 0.43 1.0
## creative           9 -0.12  0.73 0.416 0.58 1.1
## artistic           2 -0.13  0.72 0.399 0.60 1.1
## exciting          14  0.24  0.63 0.669 0.33 1.3
## enjoyable         13  0.46  0.49 0.769 0.23 2.0
## pretty            25  0.45  0.46 0.720 0.28 2.0
## satisfying        28  0.41  0.42 0.600 0.40 2.0
## provoking         27 -0.17  0.37 0.073 0.93 1.4
## 
##                         PA1  PA2
## SS loadings           11.05 7.54
## Proportion Var         0.36 0.24
## Cumulative Var         0.36 0.60
## Proportion Explained   0.59 0.41
## Cumulative Proportion  0.59 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.73
## PA2 0.73 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.91
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.92 0.87

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## likable         19 0.91 0.820 0.18   1
## nice            22 0.90 0.818 0.18   1
## enjoyable       13 0.87 0.764 0.24   1
## delightful      10 0.86 0.731 0.27   1
## pleasing        24 0.85 0.721 0.28   1
## appealing        1 0.85 0.719 0.28   1
## pretty          25 0.85 0.716 0.28   1
## lovely          20 0.85 0.716 0.28   1
## beautiful        5 0.84 0.707 0.29   1
## attractive       3 0.84 0.707 0.29   1
## elegant         11 0.83 0.696 0.30   1
## inviting        18 0.83 0.694 0.31   1
## exciting        14 0.79 0.625 0.38   1
## engaging        12 0.79 0.624 0.38   1
## harmonious      16 0.79 0.621 0.38   1
## tasteful        30 0.78 0.615 0.38   1
## satisfying      28 0.77 0.597 0.40   1
## wellDesigned    31 0.76 0.578 0.42   1
## motivating      21 0.74 0.549 0.45   1
## clean            6 0.73 0.527 0.47   1
## interesting     17 0.70 0.495 0.51   1
## balanced         4 0.69 0.480 0.52   1
## sophisticated   29 0.68 0.467 0.53   1
## fascinating     15 0.68 0.458 0.54   1
## colorHarmonious  8 0.65 0.427 0.57   1
## professional    26 0.63 0.400 0.60   1
## organized       23 0.59 0.348 0.65   1
## creative         9 0.53 0.284 0.72   1
## artistic         2 0.52 0.268 0.73   1
## cluttered        7 0.30 0.093 0.91   1
## provoking       27 0.17 0.029 0.97   1
## 
##                  PA1
## SS loadings    17.29
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.91
## The degrees of freedom for the model are 434  and the objective function was  5.64 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2    h2   u2 com
## clean              6  0.79 0.20 0.671 0.33 1.1
## balanced           4  0.78 0.17 0.630 0.37 1.1
## organized         23  0.72 0.07 0.530 0.47 1.0
## wellDesigned      31  0.69 0.37 0.609 0.39 1.5
## harmonious        16  0.69 0.41 0.640 0.36 1.6
## nice              22  0.68 0.59 0.817 0.18 2.0
## elegant           11  0.68 0.48 0.702 0.30 1.8
## inviting          18  0.68 0.48 0.700 0.30 1.8
## professional      26  0.67 0.20 0.485 0.52 1.2
## likable           19  0.66 0.62 0.820 0.18 2.0
## delightful        10  0.64 0.56 0.730 0.27 2.0
## lovely            20  0.63 0.57 0.714 0.29 2.0
## tasteful          30  0.61 0.49 0.615 0.39 1.9
## appealing          1  0.61 0.59 0.720 0.28 2.0
## pleasing          24  0.61 0.60 0.723 0.28 2.0
## motivating        21  0.60 0.43 0.553 0.45 1.8
## beautiful          5  0.60 0.59 0.710 0.29 2.0
## attractive         3  0.60 0.59 0.710 0.29 2.0
## engaging          12  0.58 0.54 0.624 0.38 2.0
## sophisticated     29  0.55 0.41 0.468 0.53 1.9
## colorHarmonious    8  0.52 0.40 0.428 0.57 1.9
## cluttered          7  0.35 0.05 0.129 0.87 1.0
## interesting       17  0.28 0.76 0.655 0.34 1.3
## fascinating       15  0.30 0.69 0.568 0.43 1.4
## exciting          14  0.47 0.67 0.669 0.33 1.8
## enjoyable         13  0.61 0.63 0.769 0.23 2.0
## creative           9  0.17 0.62 0.416 0.58 1.2
## artistic           2  0.16 0.61 0.399 0.60 1.1
## pretty            25  0.60 0.60 0.720 0.28 2.0
## satisfying        28  0.54 0.55 0.600 0.40 2.0
## provoking         27 -0.01 0.27 0.073 0.93 1.0
## 
##                         PA1  PA2
## SS loadings           10.49 8.10
## Proportion Var         0.34 0.26
## Cumulative Var         0.34 0.60
## Proportion Explained   0.56 0.44
## Cumulative Proportion  0.56 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.91
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.94 0.92
## Multiple R square of scores with factors          0.88 0.85
## Minimum correlation of possible factor scores     0.77 0.70
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## clean              6  0.95 -0.19 0.671 0.33 1.1
## balanced           4  0.94 -0.22 0.630 0.37 1.1
## organized         23  0.93 -0.32 0.530 0.47 1.2
## professional      26  0.78 -0.12 0.485 0.52 1.0
## wellDesigned      31  0.71  0.09 0.609 0.39 1.0
## harmonious        16  0.68  0.15 0.640 0.36 1.1
## elegant           11  0.64  0.25 0.702 0.30 1.3
## inviting          18  0.63  0.25 0.700 0.30 1.3
## nice              22  0.58  0.39 0.817 0.18 1.8
## motivating        21  0.56  0.23 0.553 0.45 1.3
## delightful        10  0.53  0.38 0.730 0.27 1.8
## tasteful          30  0.53  0.31 0.615 0.39 1.6
## likable           19  0.53  0.44 0.820 0.18 1.9
## lovely            20  0.51  0.39 0.714 0.29 1.9
## sophisticated     29  0.49  0.24 0.468 0.53 1.4
## appealing          1  0.47  0.44 0.720 0.28 2.0
## pleasing          24  0.47  0.45 0.723 0.28 2.0
## colorHarmonious    8  0.47  0.23 0.428 0.57 1.5
## engaging          12  0.46  0.39 0.624 0.38 1.9
## beautiful          5  0.46  0.45 0.710 0.29 2.0
## attractive         3  0.46  0.45 0.710 0.29 2.0
## cluttered          7  0.44 -0.13 0.129 0.87 1.2
## interesting       17 -0.06  0.85 0.655 0.34 1.0
## fascinating       15  0.01  0.74 0.568 0.43 1.0
## creative           9 -0.12  0.73 0.416 0.58 1.1
## artistic           2 -0.13  0.72 0.399 0.60 1.1
## exciting          14  0.24  0.63 0.669 0.33 1.3
## enjoyable         13  0.46  0.49 0.769 0.23 2.0
## pretty            25  0.45  0.46 0.720 0.28 2.0
## satisfying        28  0.41  0.42 0.600 0.40 2.0
## provoking         27 -0.17  0.37 0.073 0.93 1.4
## 
##                         PA1  PA2
## SS loadings           11.05 7.54
## Proportion Var         0.36 0.24
## Cumulative Var         0.36 0.60
## Proportion Explained   0.59 0.41
## Cumulative Proportion  0.59 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.73
## PA2 0.73 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.91
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.92 0.87

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## likable         19 0.91 0.820 0.18   1
## nice            22 0.90 0.818 0.18   1
## enjoyable       13 0.87 0.764 0.24   1
## delightful      10 0.86 0.731 0.27   1
## pleasing        24 0.85 0.721 0.28   1
## appealing        1 0.85 0.719 0.28   1
## pretty          25 0.85 0.716 0.28   1
## lovely          20 0.85 0.716 0.28   1
## beautiful        5 0.84 0.707 0.29   1
## attractive       3 0.84 0.707 0.29   1
## elegant         11 0.83 0.696 0.30   1
## inviting        18 0.83 0.694 0.31   1
## exciting        14 0.79 0.625 0.38   1
## engaging        12 0.79 0.624 0.38   1
## harmonious      16 0.79 0.621 0.38   1
## tasteful        30 0.78 0.615 0.38   1
## satisfying      28 0.77 0.597 0.40   1
## wellDesigned    31 0.76 0.578 0.42   1
## motivating      21 0.74 0.549 0.45   1
## clean            6 0.73 0.527 0.47   1
## interesting     17 0.70 0.495 0.51   1
## balanced         4 0.69 0.480 0.52   1
## sophisticated   29 0.68 0.467 0.53   1
## fascinating     15 0.68 0.458 0.54   1
## colorHarmonious  8 0.65 0.427 0.57   1
## professional    26 0.63 0.400 0.60   1
## organized       23 0.59 0.348 0.65   1
## creative         9 0.53 0.284 0.72   1
## artistic         2 0.52 0.268 0.73   1
## cluttered        7 0.30 0.093 0.91   1
## provoking       27 0.17 0.029 0.97   1
## 
##                  PA1
## SS loadings    17.29
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.91
## The degrees of freedom for the model are 434  and the objective function was  5.64 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2    h2   u2 com
## clean              6  0.79 0.20 0.671 0.33 1.1
## balanced           4  0.78 0.17 0.630 0.37 1.1
## organized         23  0.72 0.07 0.530 0.47 1.0
## wellDesigned      31  0.69 0.37 0.609 0.39 1.5
## harmonious        16  0.69 0.41 0.640 0.36 1.6
## nice              22  0.68 0.59 0.817 0.18 2.0
## elegant           11  0.68 0.48 0.702 0.30 1.8
## inviting          18  0.68 0.48 0.700 0.30 1.8
## professional      26  0.67 0.20 0.485 0.52 1.2
## likable           19  0.66 0.62 0.820 0.18 2.0
## delightful        10  0.64 0.56 0.730 0.27 2.0
## lovely            20  0.63 0.57 0.714 0.29 2.0
## tasteful          30  0.61 0.49 0.615 0.39 1.9
## appealing          1  0.61 0.59 0.720 0.28 2.0
## pleasing          24  0.61 0.60 0.723 0.28 2.0
## motivating        21  0.60 0.43 0.553 0.45 1.8
## beautiful          5  0.60 0.59 0.710 0.29 2.0
## attractive         3  0.60 0.59 0.710 0.29 2.0
## engaging          12  0.58 0.54 0.624 0.38 2.0
## sophisticated     29  0.55 0.41 0.468 0.53 1.9
## colorHarmonious    8  0.52 0.40 0.428 0.57 1.9
## cluttered          7  0.35 0.05 0.129 0.87 1.0
## interesting       17  0.28 0.76 0.655 0.34 1.3
## fascinating       15  0.30 0.69 0.568 0.43 1.4
## exciting          14  0.47 0.67 0.669 0.33 1.8
## enjoyable         13  0.61 0.63 0.769 0.23 2.0
## creative           9  0.17 0.62 0.416 0.58 1.2
## artistic           2  0.16 0.61 0.399 0.60 1.1
## pretty            25  0.60 0.60 0.720 0.28 2.0
## satisfying        28  0.54 0.55 0.600 0.40 2.0
## provoking         27 -0.01 0.27 0.073 0.93 1.0
## 
##                         PA1  PA2
## SS loadings           10.49 8.10
## Proportion Var         0.34 0.26
## Cumulative Var         0.34 0.60
## Proportion Explained   0.56 0.44
## Cumulative Proportion  0.56 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.91
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.94 0.92
## Multiple R square of scores with factors          0.88 0.85
## Minimum correlation of possible factor scores     0.77 0.70
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## clean              6  0.95 -0.19 0.671 0.33 1.1
## balanced           4  0.94 -0.22 0.630 0.37 1.1
## organized         23  0.93 -0.32 0.530 0.47 1.2
## professional      26  0.78 -0.12 0.485 0.52 1.0
## wellDesigned      31  0.71  0.09 0.609 0.39 1.0
## harmonious        16  0.68  0.15 0.640 0.36 1.1
## elegant           11  0.64  0.25 0.702 0.30 1.3
## inviting          18  0.63  0.25 0.700 0.30 1.3
## nice              22  0.58  0.39 0.817 0.18 1.8
## motivating        21  0.56  0.23 0.553 0.45 1.3
## delightful        10  0.53  0.38 0.730 0.27 1.8
## tasteful          30  0.53  0.31 0.615 0.39 1.6
## likable           19  0.53  0.44 0.820 0.18 1.9
## lovely            20  0.51  0.39 0.714 0.29 1.9
## sophisticated     29  0.49  0.24 0.468 0.53 1.4
## appealing          1  0.47  0.44 0.720 0.28 2.0
## pleasing          24  0.47  0.45 0.723 0.28 2.0
## colorHarmonious    8  0.47  0.23 0.428 0.57 1.5
## engaging          12  0.46  0.39 0.624 0.38 1.9
## beautiful          5  0.46  0.45 0.710 0.29 2.0
## attractive         3  0.46  0.45 0.710 0.29 2.0
## cluttered          7  0.44 -0.13 0.129 0.87 1.2
## interesting       17 -0.06  0.85 0.655 0.34 1.0
## fascinating       15  0.01  0.74 0.568 0.43 1.0
## creative           9 -0.12  0.73 0.416 0.58 1.1
## artistic           2 -0.13  0.72 0.399 0.60 1.1
## exciting          14  0.24  0.63 0.669 0.33 1.3
## enjoyable         13  0.46  0.49 0.769 0.23 2.0
## pretty            25  0.45  0.46 0.720 0.28 2.0
## satisfying        28  0.41  0.42 0.600 0.40 2.0
## provoking         27 -0.17  0.37 0.073 0.93 1.4
## 
##                         PA1  PA2
## SS loadings           11.05 7.54
## Proportion Var         0.36 0.24
## Cumulative Var         0.36 0.60
## Proportion Explained   0.59 0.41
## Cumulative Proportion  0.59 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.73
## PA2 0.73 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.91
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.92 0.87
## 
## 
## ## Image  2

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V   PA1    h2   u2 com
## nice            22  0.81 0.653 0.35   1
## pleasing        24  0.80 0.646 0.35   1
## appealing        1  0.80 0.644 0.36   1
## likable         19  0.79 0.619 0.38   1
## enjoyable       13  0.78 0.609 0.39   1
## attractive       3  0.78 0.601 0.40   1
## beautiful        5  0.77 0.587 0.41   1
## elegant         11  0.76 0.572 0.43   1
## pretty          25  0.76 0.571 0.43   1
## lovely          20  0.75 0.560 0.44   1
## delightful      10  0.74 0.553 0.45   1
## inviting        18  0.74 0.541 0.46   1
## satisfying      28  0.73 0.540 0.46   1
## wellDesigned    31  0.71 0.499 0.50   1
## interesting     17  0.70 0.494 0.51   1
## engaging        12  0.70 0.490 0.51   1
## clean            6  0.70 0.484 0.52   1
## harmonious      16  0.69 0.477 0.52   1
## professional    26  0.67 0.450 0.55   1
## exciting        14  0.66 0.440 0.56   1
## motivating      21  0.65 0.424 0.58   1
## tasteful        30  0.64 0.414 0.59   1
## fascinating     15  0.64 0.413 0.59   1
## balanced         4  0.63 0.394 0.61   1
## sophisticated   29  0.63 0.391 0.61   1
## organized       23  0.61 0.378 0.62   1
## colorHarmonious  8  0.59 0.349 0.65   1
## artistic         2  0.49 0.241 0.76   1
## creative         9  0.49 0.240 0.76   1
## cluttered        7 -0.33 0.108 0.89   1
## provoking       27  0.20 0.039 0.96   1
## 
##                  PA1
## SS loadings    14.42
## Proportion Var  0.47
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  23.71
## The degrees of freedom for the model are 434  and the objective function was  6.68 
## 
## The root mean square of the residuals (RMSR) is  0.09 
## The df corrected root mean square of the residuals is  0.09 
## 
## Fit based upon off diagonal values = 0.97
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.98
## Multiple R square of scores with factors          0.97
## Minimum correlation of possible factor scores     0.94
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2   h2   u2 com
## organized         23  0.79 0.05 0.63 0.37 1.0
## clean              6  0.77 0.19 0.63 0.37 1.1
## professional      26  0.75 0.17 0.60 0.40 1.1
## nice              22  0.75 0.37 0.70 0.30 1.5
## balanced           4  0.73 0.14 0.55 0.45 1.1
## likable           19  0.72 0.38 0.66 0.34 1.5
## wellDesigned      31  0.68 0.30 0.55 0.45 1.4
## harmonious        16  0.68 0.28 0.54 0.46 1.3
## colorHarmonious    8  0.67 0.14 0.47 0.53 1.1
## pleasing          24  0.67 0.46 0.65 0.35 1.8
## appealing          1  0.61 0.52 0.64 0.36 1.9
## satisfying        28  0.61 0.42 0.55 0.45 1.8
## enjoyable         13  0.58 0.51 0.61 0.39 2.0
## tasteful          30  0.58 0.32 0.43 0.57 1.6
## attractive         3  0.57 0.52 0.60 0.40 2.0
## cluttered          7 -0.46 0.02 0.21 0.79 1.0
## exciting          14  0.20 0.79 0.66 0.34 1.1
## fascinating       15  0.21 0.74 0.59 0.41 1.2
## motivating        21  0.27 0.69 0.54 0.46 1.3
## artistic           2  0.06 0.68 0.47 0.53 1.0
## creative           9  0.07 0.67 0.45 0.55 1.0
## delightful        10  0.41 0.66 0.61 0.39 1.7
## inviting          18  0.41 0.65 0.59 0.41 1.7
## beautiful          5  0.46 0.64 0.61 0.39 1.8
## sophisticated     29  0.30 0.60 0.45 0.55 1.5
## engaging          12  0.40 0.60 0.52 0.48 1.8
## lovely            20  0.47 0.59 0.58 0.42 1.9
## elegant           11  0.51 0.56 0.58 0.42 2.0
## pretty            25  0.53 0.54 0.57 0.43 2.0
## interesting       17  0.48 0.52 0.50 0.50 2.0
## provoking         27 -0.06 0.37 0.14 0.86 1.1
## 
##                        PA1  PA2
## SS loadings           9.14 7.73
## Proportion Var        0.29 0.25
## Cumulative Var        0.29 0.54
## Proportion Explained  0.54 0.46
## Cumulative Proportion 0.54 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  23.71
## The degrees of freedom for the model are 404  and the objective function was  3.95 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.95
## Multiple R square of scores with factors          0.92 0.90
## Minimum correlation of possible factor scores     0.84 0.80
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## organized         23  0.94 -0.28 0.63 0.37 1.2
## clean              6  0.86 -0.10 0.63 0.37 1.0
## professional      26  0.84 -0.12 0.60 0.40 1.0
## balanced           4  0.82 -0.15 0.55 0.45 1.1
## colorHarmonious    8  0.76 -0.12 0.47 0.53 1.1
## nice              22  0.75  0.13 0.70 0.30 1.1
## likable           19  0.70  0.15 0.66 0.34 1.1
## harmonious        16  0.70  0.05 0.54 0.46 1.0
## wellDesigned      31  0.69  0.08 0.55 0.45 1.0
## pleasing          24  0.61  0.27 0.65 0.35 1.4
## tasteful          30  0.56  0.14 0.43 0.57 1.1
## cluttered          7 -0.56  0.22 0.21 0.79 1.3
## satisfying        28  0.56  0.25 0.55 0.45 1.4
## appealing          1  0.52  0.37 0.64 0.36 1.8
## enjoyable         13  0.49  0.37 0.61 0.39 1.9
## attractive         3  0.47  0.38 0.60 0.40 1.9
## exciting          14 -0.10  0.87 0.66 0.34 1.0
## fascinating       15 -0.06  0.81 0.59 0.41 1.0
## artistic           2 -0.22  0.80 0.47 0.53 1.2
## creative           9 -0.20  0.78 0.45 0.55 1.1
## motivating        21  0.03  0.72 0.54 0.46 1.0
## delightful        10  0.20  0.63 0.61 0.39 1.2
## inviting          18  0.22  0.61 0.59 0.41 1.3
## sophisticated     29  0.11  0.60 0.45 0.55 1.1
## beautiful          5  0.28  0.57 0.61 0.39 1.5
## engaging          12  0.23  0.55 0.52 0.48 1.3
## lovely            20  0.32  0.52 0.58 0.42 1.7
## provoking         27 -0.23  0.47 0.14 0.86 1.5
## elegant           11  0.38  0.46 0.58 0.42 1.9
## interesting       17  0.36  0.42 0.50 0.50 1.9
## pretty            25  0.42  0.42 0.57 0.43 2.0
## 
##                        PA1  PA2
## SS loadings           9.32 7.54
## Proportion Var        0.30 0.24
## Cumulative Var        0.30 0.54
## Proportion Explained  0.55 0.45
## Cumulative Proportion 0.55 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.63
## PA2 0.63 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  23.71
## The degrees of freedom for the model are 404  and the objective function was  3.95 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.91 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V   PA1    h2   u2 com
## nice            22  0.81 0.653 0.35   1
## pleasing        24  0.80 0.646 0.35   1
## appealing        1  0.80 0.644 0.36   1
## likable         19  0.79 0.619 0.38   1
## enjoyable       13  0.78 0.609 0.39   1
## attractive       3  0.78 0.601 0.40   1
## beautiful        5  0.77 0.587 0.41   1
## elegant         11  0.76 0.572 0.43   1
## pretty          25  0.76 0.571 0.43   1
## lovely          20  0.75 0.560 0.44   1
## delightful      10  0.74 0.553 0.45   1
## inviting        18  0.74 0.541 0.46   1
## satisfying      28  0.73 0.540 0.46   1
## wellDesigned    31  0.71 0.499 0.50   1
## interesting     17  0.70 0.494 0.51   1
## engaging        12  0.70 0.490 0.51   1
## clean            6  0.70 0.484 0.52   1
## harmonious      16  0.69 0.477 0.52   1
## professional    26  0.67 0.450 0.55   1
## exciting        14  0.66 0.440 0.56   1
## motivating      21  0.65 0.424 0.58   1
## tasteful        30  0.64 0.414 0.59   1
## fascinating     15  0.64 0.413 0.59   1
## balanced         4  0.63 0.394 0.61   1
## sophisticated   29  0.63 0.391 0.61   1
## organized       23  0.61 0.378 0.62   1
## colorHarmonious  8  0.59 0.349 0.65   1
## artistic         2  0.49 0.241 0.76   1
## creative         9  0.49 0.240 0.76   1
## cluttered        7 -0.33 0.108 0.89   1
## provoking       27  0.20 0.039 0.96   1
## 
##                  PA1
## SS loadings    14.42
## Proportion Var  0.47
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  23.71
## The degrees of freedom for the model are 434  and the objective function was  6.68 
## 
## The root mean square of the residuals (RMSR) is  0.09 
## The df corrected root mean square of the residuals is  0.09 
## 
## Fit based upon off diagonal values = 0.97
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.98
## Multiple R square of scores with factors          0.97
## Minimum correlation of possible factor scores     0.94
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2   h2   u2 com
## organized         23  0.79 0.05 0.63 0.37 1.0
## clean              6  0.77 0.19 0.63 0.37 1.1
## professional      26  0.75 0.17 0.60 0.40 1.1
## nice              22  0.75 0.37 0.70 0.30 1.5
## balanced           4  0.73 0.14 0.55 0.45 1.1
## likable           19  0.72 0.38 0.66 0.34 1.5
## wellDesigned      31  0.68 0.30 0.55 0.45 1.4
## harmonious        16  0.68 0.28 0.54 0.46 1.3
## colorHarmonious    8  0.67 0.14 0.47 0.53 1.1
## pleasing          24  0.67 0.46 0.65 0.35 1.8
## appealing          1  0.61 0.52 0.64 0.36 1.9
## satisfying        28  0.61 0.42 0.55 0.45 1.8
## enjoyable         13  0.58 0.51 0.61 0.39 2.0
## tasteful          30  0.58 0.32 0.43 0.57 1.6
## attractive         3  0.57 0.52 0.60 0.40 2.0
## cluttered          7 -0.46 0.02 0.21 0.79 1.0
## exciting          14  0.20 0.79 0.66 0.34 1.1
## fascinating       15  0.21 0.74 0.59 0.41 1.2
## motivating        21  0.27 0.69 0.54 0.46 1.3
## artistic           2  0.06 0.68 0.47 0.53 1.0
## creative           9  0.07 0.67 0.45 0.55 1.0
## delightful        10  0.41 0.66 0.61 0.39 1.7
## inviting          18  0.41 0.65 0.59 0.41 1.7
## beautiful          5  0.46 0.64 0.61 0.39 1.8
## sophisticated     29  0.30 0.60 0.45 0.55 1.5
## engaging          12  0.40 0.60 0.52 0.48 1.8
## lovely            20  0.47 0.59 0.58 0.42 1.9
## elegant           11  0.51 0.56 0.58 0.42 2.0
## pretty            25  0.53 0.54 0.57 0.43 2.0
## interesting       17  0.48 0.52 0.50 0.50 2.0
## provoking         27 -0.06 0.37 0.14 0.86 1.1
## 
##                        PA1  PA2
## SS loadings           9.14 7.73
## Proportion Var        0.29 0.25
## Cumulative Var        0.29 0.54
## Proportion Explained  0.54 0.46
## Cumulative Proportion 0.54 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  23.71
## The degrees of freedom for the model are 404  and the objective function was  3.95 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.95
## Multiple R square of scores with factors          0.92 0.90
## Minimum correlation of possible factor scores     0.84 0.80
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## organized         23  0.94 -0.28 0.63 0.37 1.2
## clean              6  0.86 -0.10 0.63 0.37 1.0
## professional      26  0.84 -0.12 0.60 0.40 1.0
## balanced           4  0.82 -0.15 0.55 0.45 1.1
## colorHarmonious    8  0.76 -0.12 0.47 0.53 1.1
## nice              22  0.75  0.13 0.70 0.30 1.1
## likable           19  0.70  0.15 0.66 0.34 1.1
## harmonious        16  0.70  0.05 0.54 0.46 1.0
## wellDesigned      31  0.69  0.08 0.55 0.45 1.0
## pleasing          24  0.61  0.27 0.65 0.35 1.4
## tasteful          30  0.56  0.14 0.43 0.57 1.1
## cluttered          7 -0.56  0.22 0.21 0.79 1.3
## satisfying        28  0.56  0.25 0.55 0.45 1.4
## appealing          1  0.52  0.37 0.64 0.36 1.8
## enjoyable         13  0.49  0.37 0.61 0.39 1.9
## attractive         3  0.47  0.38 0.60 0.40 1.9
## exciting          14 -0.10  0.87 0.66 0.34 1.0
## fascinating       15 -0.06  0.81 0.59 0.41 1.0
## artistic           2 -0.22  0.80 0.47 0.53 1.2
## creative           9 -0.20  0.78 0.45 0.55 1.1
## motivating        21  0.03  0.72 0.54 0.46 1.0
## delightful        10  0.20  0.63 0.61 0.39 1.2
## inviting          18  0.22  0.61 0.59 0.41 1.3
## sophisticated     29  0.11  0.60 0.45 0.55 1.1
## beautiful          5  0.28  0.57 0.61 0.39 1.5
## engaging          12  0.23  0.55 0.52 0.48 1.3
## lovely            20  0.32  0.52 0.58 0.42 1.7
## provoking         27 -0.23  0.47 0.14 0.86 1.5
## elegant           11  0.38  0.46 0.58 0.42 1.9
## interesting       17  0.36  0.42 0.50 0.50 1.9
## pretty            25  0.42  0.42 0.57 0.43 2.0
## 
##                        PA1  PA2
## SS loadings           9.32 7.54
## Proportion Var        0.30 0.24
## Cumulative Var        0.30 0.54
## Proportion Explained  0.55 0.45
## Cumulative Proportion 0.55 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.63
## PA2 0.63 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  23.71
## The degrees of freedom for the model are 404  and the objective function was  3.95 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.91 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V   PA1    h2   u2 com
## nice            22  0.81 0.653 0.35   1
## pleasing        24  0.80 0.646 0.35   1
## appealing        1  0.80 0.644 0.36   1
## likable         19  0.79 0.619 0.38   1
## enjoyable       13  0.78 0.609 0.39   1
## attractive       3  0.78 0.601 0.40   1
## beautiful        5  0.77 0.587 0.41   1
## elegant         11  0.76 0.572 0.43   1
## pretty          25  0.76 0.571 0.43   1
## lovely          20  0.75 0.560 0.44   1
## delightful      10  0.74 0.553 0.45   1
## inviting        18  0.74 0.541 0.46   1
## satisfying      28  0.73 0.540 0.46   1
## wellDesigned    31  0.71 0.499 0.50   1
## interesting     17  0.70 0.494 0.51   1
## engaging        12  0.70 0.490 0.51   1
## clean            6  0.70 0.484 0.52   1
## harmonious      16  0.69 0.477 0.52   1
## professional    26  0.67 0.450 0.55   1
## exciting        14  0.66 0.440 0.56   1
## motivating      21  0.65 0.424 0.58   1
## tasteful        30  0.64 0.414 0.59   1
## fascinating     15  0.64 0.413 0.59   1
## balanced         4  0.63 0.394 0.61   1
## sophisticated   29  0.63 0.391 0.61   1
## organized       23  0.61 0.378 0.62   1
## colorHarmonious  8  0.59 0.349 0.65   1
## artistic         2  0.49 0.241 0.76   1
## creative         9  0.49 0.240 0.76   1
## cluttered        7 -0.33 0.108 0.89   1
## provoking       27  0.20 0.039 0.96   1
## 
##                  PA1
## SS loadings    14.42
## Proportion Var  0.47
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  23.71
## The degrees of freedom for the model are 434  and the objective function was  6.68 
## 
## The root mean square of the residuals (RMSR) is  0.09 
## The df corrected root mean square of the residuals is  0.09 
## 
## Fit based upon off diagonal values = 0.97
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.98
## Multiple R square of scores with factors          0.97
## Minimum correlation of possible factor scores     0.94
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2   h2   u2 com
## organized         23  0.79 0.05 0.63 0.37 1.0
## clean              6  0.77 0.19 0.63 0.37 1.1
## professional      26  0.75 0.17 0.60 0.40 1.1
## nice              22  0.75 0.37 0.70 0.30 1.5
## balanced           4  0.73 0.14 0.55 0.45 1.1
## likable           19  0.72 0.38 0.66 0.34 1.5
## wellDesigned      31  0.68 0.30 0.55 0.45 1.4
## harmonious        16  0.68 0.28 0.54 0.46 1.3
## colorHarmonious    8  0.67 0.14 0.47 0.53 1.1
## pleasing          24  0.67 0.46 0.65 0.35 1.8
## appealing          1  0.61 0.52 0.64 0.36 1.9
## satisfying        28  0.61 0.42 0.55 0.45 1.8
## enjoyable         13  0.58 0.51 0.61 0.39 2.0
## tasteful          30  0.58 0.32 0.43 0.57 1.6
## attractive         3  0.57 0.52 0.60 0.40 2.0
## cluttered          7 -0.46 0.02 0.21 0.79 1.0
## exciting          14  0.20 0.79 0.66 0.34 1.1
## fascinating       15  0.21 0.74 0.59 0.41 1.2
## motivating        21  0.27 0.69 0.54 0.46 1.3
## artistic           2  0.06 0.68 0.47 0.53 1.0
## creative           9  0.07 0.67 0.45 0.55 1.0
## delightful        10  0.41 0.66 0.61 0.39 1.7
## inviting          18  0.41 0.65 0.59 0.41 1.7
## beautiful          5  0.46 0.64 0.61 0.39 1.8
## sophisticated     29  0.30 0.60 0.45 0.55 1.5
## engaging          12  0.40 0.60 0.52 0.48 1.8
## lovely            20  0.47 0.59 0.58 0.42 1.9
## elegant           11  0.51 0.56 0.58 0.42 2.0
## pretty            25  0.53 0.54 0.57 0.43 2.0
## interesting       17  0.48 0.52 0.50 0.50 2.0
## provoking         27 -0.06 0.37 0.14 0.86 1.1
## 
##                        PA1  PA2
## SS loadings           9.14 7.73
## Proportion Var        0.29 0.25
## Cumulative Var        0.29 0.54
## Proportion Explained  0.54 0.46
## Cumulative Proportion 0.54 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  23.71
## The degrees of freedom for the model are 404  and the objective function was  3.95 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.95
## Multiple R square of scores with factors          0.92 0.90
## Minimum correlation of possible factor scores     0.84 0.80
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## organized         23  0.94 -0.28 0.63 0.37 1.2
## clean              6  0.86 -0.10 0.63 0.37 1.0
## professional      26  0.84 -0.12 0.60 0.40 1.0
## balanced           4  0.82 -0.15 0.55 0.45 1.1
## colorHarmonious    8  0.76 -0.12 0.47 0.53 1.1
## nice              22  0.75  0.13 0.70 0.30 1.1
## likable           19  0.70  0.15 0.66 0.34 1.1
## harmonious        16  0.70  0.05 0.54 0.46 1.0
## wellDesigned      31  0.69  0.08 0.55 0.45 1.0
## pleasing          24  0.61  0.27 0.65 0.35 1.4
## tasteful          30  0.56  0.14 0.43 0.57 1.1
## cluttered          7 -0.56  0.22 0.21 0.79 1.3
## satisfying        28  0.56  0.25 0.55 0.45 1.4
## appealing          1  0.52  0.37 0.64 0.36 1.8
## enjoyable         13  0.49  0.37 0.61 0.39 1.9
## attractive         3  0.47  0.38 0.60 0.40 1.9
## exciting          14 -0.10  0.87 0.66 0.34 1.0
## fascinating       15 -0.06  0.81 0.59 0.41 1.0
## artistic           2 -0.22  0.80 0.47 0.53 1.2
## creative           9 -0.20  0.78 0.45 0.55 1.1
## motivating        21  0.03  0.72 0.54 0.46 1.0
## delightful        10  0.20  0.63 0.61 0.39 1.2
## inviting          18  0.22  0.61 0.59 0.41 1.3
## sophisticated     29  0.11  0.60 0.45 0.55 1.1
## beautiful          5  0.28  0.57 0.61 0.39 1.5
## engaging          12  0.23  0.55 0.52 0.48 1.3
## lovely            20  0.32  0.52 0.58 0.42 1.7
## provoking         27 -0.23  0.47 0.14 0.86 1.5
## elegant           11  0.38  0.46 0.58 0.42 1.9
## interesting       17  0.36  0.42 0.50 0.50 1.9
## pretty            25  0.42  0.42 0.57 0.43 2.0
## 
##                        PA1  PA2
## SS loadings           9.32 7.54
## Proportion Var        0.30 0.24
## Cumulative Var        0.30 0.54
## Proportion Explained  0.55 0.45
## Cumulative Proportion 0.55 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.63
## PA2 0.63 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  23.71
## The degrees of freedom for the model are 404  and the objective function was  3.95 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.91 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V   PA1    h2   u2 com
## nice            22  0.81 0.653 0.35   1
## pleasing        24  0.80 0.646 0.35   1
## appealing        1  0.80 0.644 0.36   1
## likable         19  0.79 0.619 0.38   1
## enjoyable       13  0.78 0.609 0.39   1
## attractive       3  0.78 0.601 0.40   1
## beautiful        5  0.77 0.587 0.41   1
## elegant         11  0.76 0.572 0.43   1
## pretty          25  0.76 0.571 0.43   1
## lovely          20  0.75 0.560 0.44   1
## delightful      10  0.74 0.553 0.45   1
## inviting        18  0.74 0.541 0.46   1
## satisfying      28  0.73 0.540 0.46   1
## wellDesigned    31  0.71 0.499 0.50   1
## interesting     17  0.70 0.494 0.51   1
## engaging        12  0.70 0.490 0.51   1
## clean            6  0.70 0.484 0.52   1
## harmonious      16  0.69 0.477 0.52   1
## professional    26  0.67 0.450 0.55   1
## exciting        14  0.66 0.440 0.56   1
## motivating      21  0.65 0.424 0.58   1
## tasteful        30  0.64 0.414 0.59   1
## fascinating     15  0.64 0.413 0.59   1
## balanced         4  0.63 0.394 0.61   1
## sophisticated   29  0.63 0.391 0.61   1
## organized       23  0.61 0.378 0.62   1
## colorHarmonious  8  0.59 0.349 0.65   1
## artistic         2  0.49 0.241 0.76   1
## creative         9  0.49 0.240 0.76   1
## cluttered        7 -0.33 0.108 0.89   1
## provoking       27  0.20 0.039 0.96   1
## 
##                  PA1
## SS loadings    14.42
## Proportion Var  0.47
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  23.71
## The degrees of freedom for the model are 434  and the objective function was  6.68 
## 
## The root mean square of the residuals (RMSR) is  0.09 
## The df corrected root mean square of the residuals is  0.09 
## 
## Fit based upon off diagonal values = 0.97
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.98
## Multiple R square of scores with factors          0.97
## Minimum correlation of possible factor scores     0.94
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2   h2   u2 com
## organized         23  0.79 0.05 0.63 0.37 1.0
## clean              6  0.77 0.19 0.63 0.37 1.1
## professional      26  0.75 0.17 0.60 0.40 1.1
## nice              22  0.75 0.37 0.70 0.30 1.5
## balanced           4  0.73 0.14 0.55 0.45 1.1
## likable           19  0.72 0.38 0.66 0.34 1.5
## wellDesigned      31  0.68 0.30 0.55 0.45 1.4
## harmonious        16  0.68 0.28 0.54 0.46 1.3
## colorHarmonious    8  0.67 0.14 0.47 0.53 1.1
## pleasing          24  0.67 0.46 0.65 0.35 1.8
## appealing          1  0.61 0.52 0.64 0.36 1.9
## satisfying        28  0.61 0.42 0.55 0.45 1.8
## enjoyable         13  0.58 0.51 0.61 0.39 2.0
## tasteful          30  0.58 0.32 0.43 0.57 1.6
## attractive         3  0.57 0.52 0.60 0.40 2.0
## cluttered          7 -0.46 0.02 0.21 0.79 1.0
## exciting          14  0.20 0.79 0.66 0.34 1.1
## fascinating       15  0.21 0.74 0.59 0.41 1.2
## motivating        21  0.27 0.69 0.54 0.46 1.3
## artistic           2  0.06 0.68 0.47 0.53 1.0
## creative           9  0.07 0.67 0.45 0.55 1.0
## delightful        10  0.41 0.66 0.61 0.39 1.7
## inviting          18  0.41 0.65 0.59 0.41 1.7
## beautiful          5  0.46 0.64 0.61 0.39 1.8
## sophisticated     29  0.30 0.60 0.45 0.55 1.5
## engaging          12  0.40 0.60 0.52 0.48 1.8
## lovely            20  0.47 0.59 0.58 0.42 1.9
## elegant           11  0.51 0.56 0.58 0.42 2.0
## pretty            25  0.53 0.54 0.57 0.43 2.0
## interesting       17  0.48 0.52 0.50 0.50 2.0
## provoking         27 -0.06 0.37 0.14 0.86 1.1
## 
##                        PA1  PA2
## SS loadings           9.14 7.73
## Proportion Var        0.29 0.25
## Cumulative Var        0.29 0.54
## Proportion Explained  0.54 0.46
## Cumulative Proportion 0.54 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  23.71
## The degrees of freedom for the model are 404  and the objective function was  3.95 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.95
## Multiple R square of scores with factors          0.92 0.90
## Minimum correlation of possible factor scores     0.84 0.80
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## organized         23  0.94 -0.28 0.63 0.37 1.2
## clean              6  0.86 -0.10 0.63 0.37 1.0
## professional      26  0.84 -0.12 0.60 0.40 1.0
## balanced           4  0.82 -0.15 0.55 0.45 1.1
## colorHarmonious    8  0.76 -0.12 0.47 0.53 1.1
## nice              22  0.75  0.13 0.70 0.30 1.1
## likable           19  0.70  0.15 0.66 0.34 1.1
## harmonious        16  0.70  0.05 0.54 0.46 1.0
## wellDesigned      31  0.69  0.08 0.55 0.45 1.0
## pleasing          24  0.61  0.27 0.65 0.35 1.4
## tasteful          30  0.56  0.14 0.43 0.57 1.1
## cluttered          7 -0.56  0.22 0.21 0.79 1.3
## satisfying        28  0.56  0.25 0.55 0.45 1.4
## appealing          1  0.52  0.37 0.64 0.36 1.8
## enjoyable         13  0.49  0.37 0.61 0.39 1.9
## attractive         3  0.47  0.38 0.60 0.40 1.9
## exciting          14 -0.10  0.87 0.66 0.34 1.0
## fascinating       15 -0.06  0.81 0.59 0.41 1.0
## artistic           2 -0.22  0.80 0.47 0.53 1.2
## creative           9 -0.20  0.78 0.45 0.55 1.1
## motivating        21  0.03  0.72 0.54 0.46 1.0
## delightful        10  0.20  0.63 0.61 0.39 1.2
## inviting          18  0.22  0.61 0.59 0.41 1.3
## sophisticated     29  0.11  0.60 0.45 0.55 1.1
## beautiful          5  0.28  0.57 0.61 0.39 1.5
## engaging          12  0.23  0.55 0.52 0.48 1.3
## lovely            20  0.32  0.52 0.58 0.42 1.7
## provoking         27 -0.23  0.47 0.14 0.86 1.5
## elegant           11  0.38  0.46 0.58 0.42 1.9
## interesting       17  0.36  0.42 0.50 0.50 1.9
## pretty            25  0.42  0.42 0.57 0.43 2.0
## 
##                        PA1  PA2
## SS loadings           9.32 7.54
## Proportion Var        0.30 0.24
## Cumulative Var        0.30 0.54
## Proportion Explained  0.55 0.45
## Cumulative Proportion 0.55 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.63
## PA2 0.63 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  23.71
## The degrees of freedom for the model are 404  and the objective function was  3.95 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.91 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V   PA1    h2   u2 com
## nice            22  0.81 0.653 0.35   1
## pleasing        24  0.80 0.646 0.35   1
## appealing        1  0.80 0.644 0.36   1
## likable         19  0.79 0.619 0.38   1
## enjoyable       13  0.78 0.609 0.39   1
## attractive       3  0.78 0.601 0.40   1
## beautiful        5  0.77 0.587 0.41   1
## elegant         11  0.76 0.572 0.43   1
## pretty          25  0.76 0.571 0.43   1
## lovely          20  0.75 0.560 0.44   1
## delightful      10  0.74 0.553 0.45   1
## inviting        18  0.74 0.541 0.46   1
## satisfying      28  0.73 0.540 0.46   1
## wellDesigned    31  0.71 0.499 0.50   1
## interesting     17  0.70 0.494 0.51   1
## engaging        12  0.70 0.490 0.51   1
## clean            6  0.70 0.484 0.52   1
## harmonious      16  0.69 0.477 0.52   1
## professional    26  0.67 0.450 0.55   1
## exciting        14  0.66 0.440 0.56   1
## motivating      21  0.65 0.424 0.58   1
## tasteful        30  0.64 0.414 0.59   1
## fascinating     15  0.64 0.413 0.59   1
## balanced         4  0.63 0.394 0.61   1
## sophisticated   29  0.63 0.391 0.61   1
## organized       23  0.61 0.378 0.62   1
## colorHarmonious  8  0.59 0.349 0.65   1
## artistic         2  0.49 0.241 0.76   1
## creative         9  0.49 0.240 0.76   1
## cluttered        7 -0.33 0.108 0.89   1
## provoking       27  0.20 0.039 0.96   1
## 
##                  PA1
## SS loadings    14.42
## Proportion Var  0.47
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  23.71
## The degrees of freedom for the model are 434  and the objective function was  6.68 
## 
## The root mean square of the residuals (RMSR) is  0.09 
## The df corrected root mean square of the residuals is  0.09 
## 
## Fit based upon off diagonal values = 0.97
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.98
## Multiple R square of scores with factors          0.97
## Minimum correlation of possible factor scores     0.94
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2   h2   u2 com
## organized         23  0.79 0.05 0.63 0.37 1.0
## clean              6  0.77 0.19 0.63 0.37 1.1
## professional      26  0.75 0.17 0.60 0.40 1.1
## nice              22  0.75 0.37 0.70 0.30 1.5
## balanced           4  0.73 0.14 0.55 0.45 1.1
## likable           19  0.72 0.38 0.66 0.34 1.5
## wellDesigned      31  0.68 0.30 0.55 0.45 1.4
## harmonious        16  0.68 0.28 0.54 0.46 1.3
## colorHarmonious    8  0.67 0.14 0.47 0.53 1.1
## pleasing          24  0.67 0.46 0.65 0.35 1.8
## appealing          1  0.61 0.52 0.64 0.36 1.9
## satisfying        28  0.61 0.42 0.55 0.45 1.8
## enjoyable         13  0.58 0.51 0.61 0.39 2.0
## tasteful          30  0.58 0.32 0.43 0.57 1.6
## attractive         3  0.57 0.52 0.60 0.40 2.0
## cluttered          7 -0.46 0.02 0.21 0.79 1.0
## exciting          14  0.20 0.79 0.66 0.34 1.1
## fascinating       15  0.21 0.74 0.59 0.41 1.2
## motivating        21  0.27 0.69 0.54 0.46 1.3
## artistic           2  0.06 0.68 0.47 0.53 1.0
## creative           9  0.07 0.67 0.45 0.55 1.0
## delightful        10  0.41 0.66 0.61 0.39 1.7
## inviting          18  0.41 0.65 0.59 0.41 1.7
## beautiful          5  0.46 0.64 0.61 0.39 1.8
## sophisticated     29  0.30 0.60 0.45 0.55 1.5
## engaging          12  0.40 0.60 0.52 0.48 1.8
## lovely            20  0.47 0.59 0.58 0.42 1.9
## elegant           11  0.51 0.56 0.58 0.42 2.0
## pretty            25  0.53 0.54 0.57 0.43 2.0
## interesting       17  0.48 0.52 0.50 0.50 2.0
## provoking         27 -0.06 0.37 0.14 0.86 1.1
## 
##                        PA1  PA2
## SS loadings           9.14 7.73
## Proportion Var        0.29 0.25
## Cumulative Var        0.29 0.54
## Proportion Explained  0.54 0.46
## Cumulative Proportion 0.54 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  23.71
## The degrees of freedom for the model are 404  and the objective function was  3.95 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.95
## Multiple R square of scores with factors          0.92 0.90
## Minimum correlation of possible factor scores     0.84 0.80
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## organized         23  0.94 -0.28 0.63 0.37 1.2
## clean              6  0.86 -0.10 0.63 0.37 1.0
## professional      26  0.84 -0.12 0.60 0.40 1.0
## balanced           4  0.82 -0.15 0.55 0.45 1.1
## colorHarmonious    8  0.76 -0.12 0.47 0.53 1.1
## nice              22  0.75  0.13 0.70 0.30 1.1
## likable           19  0.70  0.15 0.66 0.34 1.1
## harmonious        16  0.70  0.05 0.54 0.46 1.0
## wellDesigned      31  0.69  0.08 0.55 0.45 1.0
## pleasing          24  0.61  0.27 0.65 0.35 1.4
## tasteful          30  0.56  0.14 0.43 0.57 1.1
## cluttered          7 -0.56  0.22 0.21 0.79 1.3
## satisfying        28  0.56  0.25 0.55 0.45 1.4
## appealing          1  0.52  0.37 0.64 0.36 1.8
## enjoyable         13  0.49  0.37 0.61 0.39 1.9
## attractive         3  0.47  0.38 0.60 0.40 1.9
## exciting          14 -0.10  0.87 0.66 0.34 1.0
## fascinating       15 -0.06  0.81 0.59 0.41 1.0
## artistic           2 -0.22  0.80 0.47 0.53 1.2
## creative           9 -0.20  0.78 0.45 0.55 1.1
## motivating        21  0.03  0.72 0.54 0.46 1.0
## delightful        10  0.20  0.63 0.61 0.39 1.2
## inviting          18  0.22  0.61 0.59 0.41 1.3
## sophisticated     29  0.11  0.60 0.45 0.55 1.1
## beautiful          5  0.28  0.57 0.61 0.39 1.5
## engaging          12  0.23  0.55 0.52 0.48 1.3
## lovely            20  0.32  0.52 0.58 0.42 1.7
## provoking         27 -0.23  0.47 0.14 0.86 1.5
## elegant           11  0.38  0.46 0.58 0.42 1.9
## interesting       17  0.36  0.42 0.50 0.50 1.9
## pretty            25  0.42  0.42 0.57 0.43 2.0
## 
##                        PA1  PA2
## SS loadings           9.32 7.54
## Proportion Var        0.30 0.24
## Cumulative Var        0.30 0.54
## Proportion Explained  0.55 0.45
## Cumulative Proportion 0.55 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.63
## PA2 0.63 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  23.71
## The degrees of freedom for the model are 404  and the objective function was  3.95 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.91 0.88
## 
## 
## ## Image  3

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## likable         19 0.88 0.770 0.23   1
## pleasing        24 0.84 0.699 0.30   1
## enjoyable       13 0.83 0.695 0.30   1
## attractive       3 0.81 0.658 0.34   1
## nice            22 0.81 0.651 0.35   1
## appealing        1 0.80 0.637 0.36   1
## lovely          20 0.78 0.602 0.40   1
## delightful      10 0.78 0.601 0.40   1
## pretty          25 0.77 0.599 0.40   1
## satisfying      28 0.77 0.590 0.41   1
## engaging        12 0.76 0.579 0.42   1
## harmonious      16 0.76 0.578 0.42   1
## beautiful        5 0.76 0.576 0.42   1
## fascinating     15 0.73 0.538 0.46   1
## exciting        14 0.72 0.526 0.47   1
## motivating      21 0.71 0.511 0.49   1
## inviting        18 0.71 0.509 0.49   1
## clean            6 0.71 0.507 0.49   1
## interesting     17 0.71 0.502 0.50   1
## elegant         11 0.71 0.500 0.50   1
## tasteful        30 0.68 0.466 0.53   1
## wellDesigned    31 0.67 0.446 0.55   1
## colorHarmonious  8 0.63 0.400 0.60   1
## sophisticated   29 0.62 0.387 0.61   1
## organized       23 0.62 0.384 0.62   1
## balanced         4 0.61 0.376 0.62   1
## creative         9 0.55 0.306 0.69   1
## professional    26 0.52 0.268 0.73   1
## artistic         2 0.51 0.259 0.74   1
## provoking       27 0.22 0.047 0.95   1
## cluttered        7 0.03 0.001 1.00   1
## 
##                  PA1
## SS loadings    15.17
## Proportion Var  0.49
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  24.45
## The degrees of freedom for the model are 434  and the objective function was  5.55 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.97
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2     h2   u2 com
## pretty            25 0.75 0.32 0.6694 0.33 1.4
## beautiful          5 0.75 0.31 0.6512 0.35 1.3
## attractive         3 0.74 0.39 0.6971 0.30 1.5
## delightful        10 0.69 0.39 0.6292 0.37 1.6
## lovely            20 0.69 0.39 0.6290 0.37 1.6
## interesting       17 0.68 0.30 0.5550 0.44 1.4
## creative           9 0.67 0.09 0.4522 0.55 1.0
## fascinating       15 0.66 0.36 0.5662 0.43 1.6
## likable           19 0.65 0.58 0.7674 0.23 2.0
## pleasing          24 0.63 0.55 0.6968 0.30 2.0
## appealing          1 0.62 0.51 0.6363 0.36 1.9
## enjoyable         13 0.62 0.56 0.6933 0.31 2.0
## tasteful          30 0.60 0.35 0.4861 0.51 1.6
## exciting          14 0.60 0.41 0.5328 0.47 1.8
## satisfying        28 0.59 0.49 0.5892 0.41 1.9
## elegant           11 0.57 0.42 0.5033 0.50 1.8
## colorHarmonious    8 0.55 0.33 0.4131 0.59 1.7
## artistic           2 0.54 0.16 0.3172 0.68 1.2
## provoking         27 0.18 0.12 0.0479 0.95 1.8
## cluttered          7 0.04 0.00 0.0019 1.00 1.0
## organized         23 0.13 0.80 0.6616 0.34 1.1
## wellDesigned      31 0.24 0.74 0.6107 0.39 1.2
## balanced           4 0.18 0.73 0.5637 0.44 1.1
## clean              6 0.34 0.70 0.6012 0.40 1.4
## professional      26 0.11 0.66 0.4478 0.55 1.1
## inviting          18 0.40 0.62 0.5481 0.45 1.7
## engaging          12 0.47 0.62 0.6010 0.40 1.9
## harmonious        16 0.50 0.58 0.5891 0.41 2.0
## nice              22 0.57 0.57 0.6518 0.35 2.0
## motivating        21 0.48 0.54 0.5179 0.48 2.0
## sophisticated     29 0.42 0.46 0.3899 0.61 2.0
## 
##                        PA1  PA2
## SS loadings           9.17 7.55
## Proportion Var        0.30 0.24
## Cumulative Var        0.30 0.54
## Proportion Explained  0.55 0.45
## Cumulative Proportion 0.55 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  24.45
## The degrees of freedom for the model are 404  and the objective function was  3.98 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.94 0.93
## Multiple R square of scores with factors          0.89 0.87
## Minimum correlation of possible factor scores     0.78 0.74
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2     h2   u2 com
## creative           9  0.83 -0.26 0.4522 0.55 1.2
## beautiful          5  0.82 -0.02 0.6512 0.35 1.0
## pretty            25  0.82  0.00 0.6694 0.33 1.0
## attractive         3  0.76  0.10 0.6971 0.30 1.0
## interesting       17  0.73  0.02 0.5550 0.44 1.0
## delightful        10  0.70  0.12 0.6292 0.37 1.1
## lovely            20  0.70  0.13 0.6290 0.37 1.1
## fascinating       15  0.67  0.11 0.5662 0.43 1.0
## artistic           2  0.63 -0.09 0.3172 0.68 1.0
## tasteful          30  0.61  0.12 0.4861 0.51 1.1
## exciting          14  0.57  0.20 0.5328 0.47 1.3
## colorHarmonious    8  0.54  0.13 0.4131 0.59 1.1
## likable           19  0.54  0.40 0.7674 0.23 1.8
## appealing          1  0.53  0.32 0.6363 0.36 1.6
## pleasing          24  0.53  0.37 0.6968 0.30 1.8
## elegant           11  0.53  0.23 0.5033 0.50 1.4
## satisfying        28  0.51  0.32 0.5892 0.41 1.7
## enjoyable         13  0.50  0.39 0.6933 0.31 1.9
## provoking         27  0.17  0.06 0.0479 0.95 1.2
## cluttered          7  0.06 -0.03 0.0019 1.00 1.4
## organized         23 -0.27  0.99 0.6616 0.34 1.2
## balanced           4 -0.16  0.86 0.5637 0.44 1.1
## wellDesigned      31 -0.09  0.84 0.6107 0.39 1.0
## professional      26 -0.22  0.81 0.4478 0.55 1.1
## clean              6  0.06  0.73 0.6012 0.40 1.0
## inviting          18  0.19  0.59 0.5481 0.45 1.2
## engaging          12  0.28  0.55 0.6010 0.40 1.5
## harmonious        16  0.33  0.49 0.5891 0.41 1.8
## motivating        21  0.33  0.44 0.5179 0.48 1.8
## nice              22  0.43  0.44 0.6518 0.35 2.0
## sophisticated     29  0.31  0.37 0.3899 0.61 1.9
## 
##                        PA1  PA2
## SS loadings           9.60 7.12
## Proportion Var        0.31 0.23
## Cumulative Var        0.31 0.54
## Proportion Explained  0.57 0.43
## Cumulative Proportion 0.57 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.72
## PA2 0.72 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  24.45
## The degrees of freedom for the model are 404  and the objective function was  3.98 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.91 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## likable         19 0.88 0.770 0.23   1
## pleasing        24 0.84 0.699 0.30   1
## enjoyable       13 0.83 0.695 0.30   1
## attractive       3 0.81 0.658 0.34   1
## nice            22 0.81 0.651 0.35   1
## appealing        1 0.80 0.637 0.36   1
## lovely          20 0.78 0.602 0.40   1
## delightful      10 0.78 0.601 0.40   1
## pretty          25 0.77 0.599 0.40   1
## satisfying      28 0.77 0.590 0.41   1
## engaging        12 0.76 0.579 0.42   1
## harmonious      16 0.76 0.578 0.42   1
## beautiful        5 0.76 0.576 0.42   1
## fascinating     15 0.73 0.538 0.46   1
## exciting        14 0.72 0.526 0.47   1
## motivating      21 0.71 0.511 0.49   1
## inviting        18 0.71 0.509 0.49   1
## clean            6 0.71 0.507 0.49   1
## interesting     17 0.71 0.502 0.50   1
## elegant         11 0.71 0.500 0.50   1
## tasteful        30 0.68 0.466 0.53   1
## wellDesigned    31 0.67 0.446 0.55   1
## colorHarmonious  8 0.63 0.400 0.60   1
## sophisticated   29 0.62 0.387 0.61   1
## organized       23 0.62 0.384 0.62   1
## balanced         4 0.61 0.376 0.62   1
## creative         9 0.55 0.306 0.69   1
## professional    26 0.52 0.268 0.73   1
## artistic         2 0.51 0.259 0.74   1
## provoking       27 0.22 0.047 0.95   1
## cluttered        7 0.03 0.001 1.00   1
## 
##                  PA1
## SS loadings    15.17
## Proportion Var  0.49
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  24.45
## The degrees of freedom for the model are 434  and the objective function was  5.55 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.97
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2     h2   u2 com
## pretty            25 0.75 0.32 0.6694 0.33 1.4
## beautiful          5 0.75 0.31 0.6512 0.35 1.3
## attractive         3 0.74 0.39 0.6971 0.30 1.5
## delightful        10 0.69 0.39 0.6292 0.37 1.6
## lovely            20 0.69 0.39 0.6290 0.37 1.6
## interesting       17 0.68 0.30 0.5550 0.44 1.4
## creative           9 0.67 0.09 0.4522 0.55 1.0
## fascinating       15 0.66 0.36 0.5662 0.43 1.6
## likable           19 0.65 0.58 0.7674 0.23 2.0
## pleasing          24 0.63 0.55 0.6968 0.30 2.0
## appealing          1 0.62 0.51 0.6363 0.36 1.9
## enjoyable         13 0.62 0.56 0.6933 0.31 2.0
## tasteful          30 0.60 0.35 0.4861 0.51 1.6
## exciting          14 0.60 0.41 0.5328 0.47 1.8
## satisfying        28 0.59 0.49 0.5892 0.41 1.9
## elegant           11 0.57 0.42 0.5033 0.50 1.8
## colorHarmonious    8 0.55 0.33 0.4131 0.59 1.7
## artistic           2 0.54 0.16 0.3172 0.68 1.2
## provoking         27 0.18 0.12 0.0479 0.95 1.8
## cluttered          7 0.04 0.00 0.0019 1.00 1.0
## organized         23 0.13 0.80 0.6616 0.34 1.1
## wellDesigned      31 0.24 0.74 0.6107 0.39 1.2
## balanced           4 0.18 0.73 0.5637 0.44 1.1
## clean              6 0.34 0.70 0.6012 0.40 1.4
## professional      26 0.11 0.66 0.4478 0.55 1.1
## inviting          18 0.40 0.62 0.5481 0.45 1.7
## engaging          12 0.47 0.62 0.6010 0.40 1.9
## harmonious        16 0.50 0.58 0.5891 0.41 2.0
## nice              22 0.57 0.57 0.6518 0.35 2.0
## motivating        21 0.48 0.54 0.5179 0.48 2.0
## sophisticated     29 0.42 0.46 0.3899 0.61 2.0
## 
##                        PA1  PA2
## SS loadings           9.17 7.55
## Proportion Var        0.30 0.24
## Cumulative Var        0.30 0.54
## Proportion Explained  0.55 0.45
## Cumulative Proportion 0.55 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  24.45
## The degrees of freedom for the model are 404  and the objective function was  3.98 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.94 0.93
## Multiple R square of scores with factors          0.89 0.87
## Minimum correlation of possible factor scores     0.78 0.74
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2     h2   u2 com
## creative           9  0.83 -0.26 0.4522 0.55 1.2
## beautiful          5  0.82 -0.02 0.6512 0.35 1.0
## pretty            25  0.82  0.00 0.6694 0.33 1.0
## attractive         3  0.76  0.10 0.6971 0.30 1.0
## interesting       17  0.73  0.02 0.5550 0.44 1.0
## delightful        10  0.70  0.12 0.6292 0.37 1.1
## lovely            20  0.70  0.13 0.6290 0.37 1.1
## fascinating       15  0.67  0.11 0.5662 0.43 1.0
## artistic           2  0.63 -0.09 0.3172 0.68 1.0
## tasteful          30  0.61  0.12 0.4861 0.51 1.1
## exciting          14  0.57  0.20 0.5328 0.47 1.3
## colorHarmonious    8  0.54  0.13 0.4131 0.59 1.1
## likable           19  0.54  0.40 0.7674 0.23 1.8
## appealing          1  0.53  0.32 0.6363 0.36 1.6
## pleasing          24  0.53  0.37 0.6968 0.30 1.8
## elegant           11  0.53  0.23 0.5033 0.50 1.4
## satisfying        28  0.51  0.32 0.5892 0.41 1.7
## enjoyable         13  0.50  0.39 0.6933 0.31 1.9
## provoking         27  0.17  0.06 0.0479 0.95 1.2
## cluttered          7  0.06 -0.03 0.0019 1.00 1.4
## organized         23 -0.27  0.99 0.6616 0.34 1.2
## balanced           4 -0.16  0.86 0.5637 0.44 1.1
## wellDesigned      31 -0.09  0.84 0.6107 0.39 1.0
## professional      26 -0.22  0.81 0.4478 0.55 1.1
## clean              6  0.06  0.73 0.6012 0.40 1.0
## inviting          18  0.19  0.59 0.5481 0.45 1.2
## engaging          12  0.28  0.55 0.6010 0.40 1.5
## harmonious        16  0.33  0.49 0.5891 0.41 1.8
## motivating        21  0.33  0.44 0.5179 0.48 1.8
## nice              22  0.43  0.44 0.6518 0.35 2.0
## sophisticated     29  0.31  0.37 0.3899 0.61 1.9
## 
##                        PA1  PA2
## SS loadings           9.60 7.12
## Proportion Var        0.31 0.23
## Cumulative Var        0.31 0.54
## Proportion Explained  0.57 0.43
## Cumulative Proportion 0.57 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.72
## PA2 0.72 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  24.45
## The degrees of freedom for the model are 404  and the objective function was  3.98 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.91 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## likable         19 0.88 0.770 0.23   1
## pleasing        24 0.84 0.699 0.30   1
## enjoyable       13 0.83 0.695 0.30   1
## attractive       3 0.81 0.658 0.34   1
## nice            22 0.81 0.651 0.35   1
## appealing        1 0.80 0.637 0.36   1
## lovely          20 0.78 0.602 0.40   1
## delightful      10 0.78 0.601 0.40   1
## pretty          25 0.77 0.599 0.40   1
## satisfying      28 0.77 0.590 0.41   1
## engaging        12 0.76 0.579 0.42   1
## harmonious      16 0.76 0.578 0.42   1
## beautiful        5 0.76 0.576 0.42   1
## fascinating     15 0.73 0.538 0.46   1
## exciting        14 0.72 0.526 0.47   1
## motivating      21 0.71 0.511 0.49   1
## inviting        18 0.71 0.509 0.49   1
## clean            6 0.71 0.507 0.49   1
## interesting     17 0.71 0.502 0.50   1
## elegant         11 0.71 0.500 0.50   1
## tasteful        30 0.68 0.466 0.53   1
## wellDesigned    31 0.67 0.446 0.55   1
## colorHarmonious  8 0.63 0.400 0.60   1
## sophisticated   29 0.62 0.387 0.61   1
## organized       23 0.62 0.384 0.62   1
## balanced         4 0.61 0.376 0.62   1
## creative         9 0.55 0.306 0.69   1
## professional    26 0.52 0.268 0.73   1
## artistic         2 0.51 0.259 0.74   1
## provoking       27 0.22 0.047 0.95   1
## cluttered        7 0.03 0.001 1.00   1
## 
##                  PA1
## SS loadings    15.17
## Proportion Var  0.49
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  24.45
## The degrees of freedom for the model are 434  and the objective function was  5.55 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.97
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2     h2   u2 com
## pretty            25 0.75 0.32 0.6694 0.33 1.4
## beautiful          5 0.75 0.31 0.6512 0.35 1.3
## attractive         3 0.74 0.39 0.6971 0.30 1.5
## delightful        10 0.69 0.39 0.6292 0.37 1.6
## lovely            20 0.69 0.39 0.6290 0.37 1.6
## interesting       17 0.68 0.30 0.5550 0.44 1.4
## creative           9 0.67 0.09 0.4522 0.55 1.0
## fascinating       15 0.66 0.36 0.5662 0.43 1.6
## likable           19 0.65 0.58 0.7674 0.23 2.0
## pleasing          24 0.63 0.55 0.6968 0.30 2.0
## appealing          1 0.62 0.51 0.6363 0.36 1.9
## enjoyable         13 0.62 0.56 0.6933 0.31 2.0
## tasteful          30 0.60 0.35 0.4861 0.51 1.6
## exciting          14 0.60 0.41 0.5328 0.47 1.8
## satisfying        28 0.59 0.49 0.5892 0.41 1.9
## elegant           11 0.57 0.42 0.5033 0.50 1.8
## colorHarmonious    8 0.55 0.33 0.4131 0.59 1.7
## artistic           2 0.54 0.16 0.3172 0.68 1.2
## provoking         27 0.18 0.12 0.0479 0.95 1.8
## cluttered          7 0.04 0.00 0.0019 1.00 1.0
## organized         23 0.13 0.80 0.6616 0.34 1.1
## wellDesigned      31 0.24 0.74 0.6107 0.39 1.2
## balanced           4 0.18 0.73 0.5637 0.44 1.1
## clean              6 0.34 0.70 0.6012 0.40 1.4
## professional      26 0.11 0.66 0.4478 0.55 1.1
## inviting          18 0.40 0.62 0.5481 0.45 1.7
## engaging          12 0.47 0.62 0.6010 0.40 1.9
## harmonious        16 0.50 0.58 0.5891 0.41 2.0
## nice              22 0.57 0.57 0.6518 0.35 2.0
## motivating        21 0.48 0.54 0.5179 0.48 2.0
## sophisticated     29 0.42 0.46 0.3899 0.61 2.0
## 
##                        PA1  PA2
## SS loadings           9.17 7.55
## Proportion Var        0.30 0.24
## Cumulative Var        0.30 0.54
## Proportion Explained  0.55 0.45
## Cumulative Proportion 0.55 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  24.45
## The degrees of freedom for the model are 404  and the objective function was  3.98 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.94 0.93
## Multiple R square of scores with factors          0.89 0.87
## Minimum correlation of possible factor scores     0.78 0.74
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2     h2   u2 com
## creative           9  0.83 -0.26 0.4522 0.55 1.2
## beautiful          5  0.82 -0.02 0.6512 0.35 1.0
## pretty            25  0.82  0.00 0.6694 0.33 1.0
## attractive         3  0.76  0.10 0.6971 0.30 1.0
## interesting       17  0.73  0.02 0.5550 0.44 1.0
## delightful        10  0.70  0.12 0.6292 0.37 1.1
## lovely            20  0.70  0.13 0.6290 0.37 1.1
## fascinating       15  0.67  0.11 0.5662 0.43 1.0
## artistic           2  0.63 -0.09 0.3172 0.68 1.0
## tasteful          30  0.61  0.12 0.4861 0.51 1.1
## exciting          14  0.57  0.20 0.5328 0.47 1.3
## colorHarmonious    8  0.54  0.13 0.4131 0.59 1.1
## likable           19  0.54  0.40 0.7674 0.23 1.8
## appealing          1  0.53  0.32 0.6363 0.36 1.6
## pleasing          24  0.53  0.37 0.6968 0.30 1.8
## elegant           11  0.53  0.23 0.5033 0.50 1.4
## satisfying        28  0.51  0.32 0.5892 0.41 1.7
## enjoyable         13  0.50  0.39 0.6933 0.31 1.9
## provoking         27  0.17  0.06 0.0479 0.95 1.2
## cluttered          7  0.06 -0.03 0.0019 1.00 1.4
## organized         23 -0.27  0.99 0.6616 0.34 1.2
## balanced           4 -0.16  0.86 0.5637 0.44 1.1
## wellDesigned      31 -0.09  0.84 0.6107 0.39 1.0
## professional      26 -0.22  0.81 0.4478 0.55 1.1
## clean              6  0.06  0.73 0.6012 0.40 1.0
## inviting          18  0.19  0.59 0.5481 0.45 1.2
## engaging          12  0.28  0.55 0.6010 0.40 1.5
## harmonious        16  0.33  0.49 0.5891 0.41 1.8
## motivating        21  0.33  0.44 0.5179 0.48 1.8
## nice              22  0.43  0.44 0.6518 0.35 2.0
## sophisticated     29  0.31  0.37 0.3899 0.61 1.9
## 
##                        PA1  PA2
## SS loadings           9.60 7.12
## Proportion Var        0.31 0.23
## Cumulative Var        0.31 0.54
## Proportion Explained  0.57 0.43
## Cumulative Proportion 0.57 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.72
## PA2 0.72 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  24.45
## The degrees of freedom for the model are 404  and the objective function was  3.98 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.91 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## likable         19 0.88 0.770 0.23   1
## pleasing        24 0.84 0.699 0.30   1
## enjoyable       13 0.83 0.695 0.30   1
## attractive       3 0.81 0.658 0.34   1
## nice            22 0.81 0.651 0.35   1
## appealing        1 0.80 0.637 0.36   1
## lovely          20 0.78 0.602 0.40   1
## delightful      10 0.78 0.601 0.40   1
## pretty          25 0.77 0.599 0.40   1
## satisfying      28 0.77 0.590 0.41   1
## engaging        12 0.76 0.579 0.42   1
## harmonious      16 0.76 0.578 0.42   1
## beautiful        5 0.76 0.576 0.42   1
## fascinating     15 0.73 0.538 0.46   1
## exciting        14 0.72 0.526 0.47   1
## motivating      21 0.71 0.511 0.49   1
## inviting        18 0.71 0.509 0.49   1
## clean            6 0.71 0.507 0.49   1
## interesting     17 0.71 0.502 0.50   1
## elegant         11 0.71 0.500 0.50   1
## tasteful        30 0.68 0.466 0.53   1
## wellDesigned    31 0.67 0.446 0.55   1
## colorHarmonious  8 0.63 0.400 0.60   1
## sophisticated   29 0.62 0.387 0.61   1
## organized       23 0.62 0.384 0.62   1
## balanced         4 0.61 0.376 0.62   1
## creative         9 0.55 0.306 0.69   1
## professional    26 0.52 0.268 0.73   1
## artistic         2 0.51 0.259 0.74   1
## provoking       27 0.22 0.047 0.95   1
## cluttered        7 0.03 0.001 1.00   1
## 
##                  PA1
## SS loadings    15.17
## Proportion Var  0.49
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  24.45
## The degrees of freedom for the model are 434  and the objective function was  5.55 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.97
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2     h2   u2 com
## pretty            25 0.75 0.32 0.6694 0.33 1.4
## beautiful          5 0.75 0.31 0.6512 0.35 1.3
## attractive         3 0.74 0.39 0.6971 0.30 1.5
## delightful        10 0.69 0.39 0.6292 0.37 1.6
## lovely            20 0.69 0.39 0.6290 0.37 1.6
## interesting       17 0.68 0.30 0.5550 0.44 1.4
## creative           9 0.67 0.09 0.4522 0.55 1.0
## fascinating       15 0.66 0.36 0.5662 0.43 1.6
## likable           19 0.65 0.58 0.7674 0.23 2.0
## pleasing          24 0.63 0.55 0.6968 0.30 2.0
## appealing          1 0.62 0.51 0.6363 0.36 1.9
## enjoyable         13 0.62 0.56 0.6933 0.31 2.0
## tasteful          30 0.60 0.35 0.4861 0.51 1.6
## exciting          14 0.60 0.41 0.5328 0.47 1.8
## satisfying        28 0.59 0.49 0.5892 0.41 1.9
## elegant           11 0.57 0.42 0.5033 0.50 1.8
## colorHarmonious    8 0.55 0.33 0.4131 0.59 1.7
## artistic           2 0.54 0.16 0.3172 0.68 1.2
## provoking         27 0.18 0.12 0.0479 0.95 1.8
## cluttered          7 0.04 0.00 0.0019 1.00 1.0
## organized         23 0.13 0.80 0.6616 0.34 1.1
## wellDesigned      31 0.24 0.74 0.6107 0.39 1.2
## balanced           4 0.18 0.73 0.5637 0.44 1.1
## clean              6 0.34 0.70 0.6012 0.40 1.4
## professional      26 0.11 0.66 0.4478 0.55 1.1
## inviting          18 0.40 0.62 0.5481 0.45 1.7
## engaging          12 0.47 0.62 0.6010 0.40 1.9
## harmonious        16 0.50 0.58 0.5891 0.41 2.0
## nice              22 0.57 0.57 0.6518 0.35 2.0
## motivating        21 0.48 0.54 0.5179 0.48 2.0
## sophisticated     29 0.42 0.46 0.3899 0.61 2.0
## 
##                        PA1  PA2
## SS loadings           9.17 7.55
## Proportion Var        0.30 0.24
## Cumulative Var        0.30 0.54
## Proportion Explained  0.55 0.45
## Cumulative Proportion 0.55 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  24.45
## The degrees of freedom for the model are 404  and the objective function was  3.98 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.94 0.93
## Multiple R square of scores with factors          0.89 0.87
## Minimum correlation of possible factor scores     0.78 0.74
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2     h2   u2 com
## creative           9  0.83 -0.26 0.4522 0.55 1.2
## beautiful          5  0.82 -0.02 0.6512 0.35 1.0
## pretty            25  0.82  0.00 0.6694 0.33 1.0
## attractive         3  0.76  0.10 0.6971 0.30 1.0
## interesting       17  0.73  0.02 0.5550 0.44 1.0
## delightful        10  0.70  0.12 0.6292 0.37 1.1
## lovely            20  0.70  0.13 0.6290 0.37 1.1
## fascinating       15  0.67  0.11 0.5662 0.43 1.0
## artistic           2  0.63 -0.09 0.3172 0.68 1.0
## tasteful          30  0.61  0.12 0.4861 0.51 1.1
## exciting          14  0.57  0.20 0.5328 0.47 1.3
## colorHarmonious    8  0.54  0.13 0.4131 0.59 1.1
## likable           19  0.54  0.40 0.7674 0.23 1.8
## appealing          1  0.53  0.32 0.6363 0.36 1.6
## pleasing          24  0.53  0.37 0.6968 0.30 1.8
## elegant           11  0.53  0.23 0.5033 0.50 1.4
## satisfying        28  0.51  0.32 0.5892 0.41 1.7
## enjoyable         13  0.50  0.39 0.6933 0.31 1.9
## provoking         27  0.17  0.06 0.0479 0.95 1.2
## cluttered          7  0.06 -0.03 0.0019 1.00 1.4
## organized         23 -0.27  0.99 0.6616 0.34 1.2
## balanced           4 -0.16  0.86 0.5637 0.44 1.1
## wellDesigned      31 -0.09  0.84 0.6107 0.39 1.0
## professional      26 -0.22  0.81 0.4478 0.55 1.1
## clean              6  0.06  0.73 0.6012 0.40 1.0
## inviting          18  0.19  0.59 0.5481 0.45 1.2
## engaging          12  0.28  0.55 0.6010 0.40 1.5
## harmonious        16  0.33  0.49 0.5891 0.41 1.8
## motivating        21  0.33  0.44 0.5179 0.48 1.8
## nice              22  0.43  0.44 0.6518 0.35 2.0
## sophisticated     29  0.31  0.37 0.3899 0.61 1.9
## 
##                        PA1  PA2
## SS loadings           9.60 7.12
## Proportion Var        0.31 0.23
## Cumulative Var        0.31 0.54
## Proportion Explained  0.57 0.43
## Cumulative Proportion 0.57 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.72
## PA2 0.72 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  24.45
## The degrees of freedom for the model are 404  and the objective function was  3.98 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.91 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## likable         19 0.88 0.770 0.23   1
## pleasing        24 0.84 0.699 0.30   1
## enjoyable       13 0.83 0.695 0.30   1
## attractive       3 0.81 0.658 0.34   1
## nice            22 0.81 0.651 0.35   1
## appealing        1 0.80 0.637 0.36   1
## lovely          20 0.78 0.602 0.40   1
## delightful      10 0.78 0.601 0.40   1
## pretty          25 0.77 0.599 0.40   1
## satisfying      28 0.77 0.590 0.41   1
## engaging        12 0.76 0.579 0.42   1
## harmonious      16 0.76 0.578 0.42   1
## beautiful        5 0.76 0.576 0.42   1
## fascinating     15 0.73 0.538 0.46   1
## exciting        14 0.72 0.526 0.47   1
## motivating      21 0.71 0.511 0.49   1
## inviting        18 0.71 0.509 0.49   1
## clean            6 0.71 0.507 0.49   1
## interesting     17 0.71 0.502 0.50   1
## elegant         11 0.71 0.500 0.50   1
## tasteful        30 0.68 0.466 0.53   1
## wellDesigned    31 0.67 0.446 0.55   1
## colorHarmonious  8 0.63 0.400 0.60   1
## sophisticated   29 0.62 0.387 0.61   1
## organized       23 0.62 0.384 0.62   1
## balanced         4 0.61 0.376 0.62   1
## creative         9 0.55 0.306 0.69   1
## professional    26 0.52 0.268 0.73   1
## artistic         2 0.51 0.259 0.74   1
## provoking       27 0.22 0.047 0.95   1
## cluttered        7 0.03 0.001 1.00   1
## 
##                  PA1
## SS loadings    15.17
## Proportion Var  0.49
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  24.45
## The degrees of freedom for the model are 434  and the objective function was  5.55 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.97
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2     h2   u2 com
## pretty            25 0.75 0.32 0.6694 0.33 1.4
## beautiful          5 0.75 0.31 0.6512 0.35 1.3
## attractive         3 0.74 0.39 0.6971 0.30 1.5
## delightful        10 0.69 0.39 0.6292 0.37 1.6
## lovely            20 0.69 0.39 0.6290 0.37 1.6
## interesting       17 0.68 0.30 0.5550 0.44 1.4
## creative           9 0.67 0.09 0.4522 0.55 1.0
## fascinating       15 0.66 0.36 0.5662 0.43 1.6
## likable           19 0.65 0.58 0.7674 0.23 2.0
## pleasing          24 0.63 0.55 0.6968 0.30 2.0
## appealing          1 0.62 0.51 0.6363 0.36 1.9
## enjoyable         13 0.62 0.56 0.6933 0.31 2.0
## tasteful          30 0.60 0.35 0.4861 0.51 1.6
## exciting          14 0.60 0.41 0.5328 0.47 1.8
## satisfying        28 0.59 0.49 0.5892 0.41 1.9
## elegant           11 0.57 0.42 0.5033 0.50 1.8
## colorHarmonious    8 0.55 0.33 0.4131 0.59 1.7
## artistic           2 0.54 0.16 0.3172 0.68 1.2
## provoking         27 0.18 0.12 0.0479 0.95 1.8
## cluttered          7 0.04 0.00 0.0019 1.00 1.0
## organized         23 0.13 0.80 0.6616 0.34 1.1
## wellDesigned      31 0.24 0.74 0.6107 0.39 1.2
## balanced           4 0.18 0.73 0.5637 0.44 1.1
## clean              6 0.34 0.70 0.6012 0.40 1.4
## professional      26 0.11 0.66 0.4478 0.55 1.1
## inviting          18 0.40 0.62 0.5481 0.45 1.7
## engaging          12 0.47 0.62 0.6010 0.40 1.9
## harmonious        16 0.50 0.58 0.5891 0.41 2.0
## nice              22 0.57 0.57 0.6518 0.35 2.0
## motivating        21 0.48 0.54 0.5179 0.48 2.0
## sophisticated     29 0.42 0.46 0.3899 0.61 2.0
## 
##                        PA1  PA2
## SS loadings           9.17 7.55
## Proportion Var        0.30 0.24
## Cumulative Var        0.30 0.54
## Proportion Explained  0.55 0.45
## Cumulative Proportion 0.55 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  24.45
## The degrees of freedom for the model are 404  and the objective function was  3.98 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.94 0.93
## Multiple R square of scores with factors          0.89 0.87
## Minimum correlation of possible factor scores     0.78 0.74
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2     h2   u2 com
## creative           9  0.83 -0.26 0.4522 0.55 1.2
## beautiful          5  0.82 -0.02 0.6512 0.35 1.0
## pretty            25  0.82  0.00 0.6694 0.33 1.0
## attractive         3  0.76  0.10 0.6971 0.30 1.0
## interesting       17  0.73  0.02 0.5550 0.44 1.0
## delightful        10  0.70  0.12 0.6292 0.37 1.1
## lovely            20  0.70  0.13 0.6290 0.37 1.1
## fascinating       15  0.67  0.11 0.5662 0.43 1.0
## artistic           2  0.63 -0.09 0.3172 0.68 1.0
## tasteful          30  0.61  0.12 0.4861 0.51 1.1
## exciting          14  0.57  0.20 0.5328 0.47 1.3
## colorHarmonious    8  0.54  0.13 0.4131 0.59 1.1
## likable           19  0.54  0.40 0.7674 0.23 1.8
## appealing          1  0.53  0.32 0.6363 0.36 1.6
## pleasing          24  0.53  0.37 0.6968 0.30 1.8
## elegant           11  0.53  0.23 0.5033 0.50 1.4
## satisfying        28  0.51  0.32 0.5892 0.41 1.7
## enjoyable         13  0.50  0.39 0.6933 0.31 1.9
## provoking         27  0.17  0.06 0.0479 0.95 1.2
## cluttered          7  0.06 -0.03 0.0019 1.00 1.4
## organized         23 -0.27  0.99 0.6616 0.34 1.2
## balanced           4 -0.16  0.86 0.5637 0.44 1.1
## wellDesigned      31 -0.09  0.84 0.6107 0.39 1.0
## professional      26 -0.22  0.81 0.4478 0.55 1.1
## clean              6  0.06  0.73 0.6012 0.40 1.0
## inviting          18  0.19  0.59 0.5481 0.45 1.2
## engaging          12  0.28  0.55 0.6010 0.40 1.5
## harmonious        16  0.33  0.49 0.5891 0.41 1.8
## motivating        21  0.33  0.44 0.5179 0.48 1.8
## nice              22  0.43  0.44 0.6518 0.35 2.0
## sophisticated     29  0.31  0.37 0.3899 0.61 1.9
## 
##                        PA1  PA2
## SS loadings           9.60 7.12
## Proportion Var        0.31 0.23
## Cumulative Var        0.31 0.54
## Proportion Explained  0.57 0.43
## Cumulative Proportion 0.57 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.72
## PA2 0.72 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  24.45
## The degrees of freedom for the model are 404  and the objective function was  3.98 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.91 0.88
## 
## 
## ## Image  4

## Warning in readfun(f, ...): libpng warning: iCCP: known incorrect sRGB profile

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.88 0.774 0.23   1
## likable         19 0.87 0.752 0.25   1
## enjoyable       13 0.86 0.741 0.26   1
## delightful      10 0.85 0.716 0.28   1
## appealing        1 0.84 0.711 0.29   1
## satisfying      28 0.83 0.696 0.30   1
## nice            22 0.82 0.677 0.32   1
## lovely          20 0.82 0.670 0.33   1
## attractive       3 0.81 0.658 0.34   1
## beautiful        5 0.79 0.626 0.37   1
## pretty          25 0.78 0.607 0.39   1
## elegant         11 0.78 0.604 0.40   1
## wellDesigned    31 0.77 0.589 0.41   1
## fascinating     15 0.77 0.588 0.41   1
## motivating      21 0.77 0.587 0.41   1
## exciting        14 0.76 0.582 0.42   1
## harmonious      16 0.75 0.559 0.44   1
## engaging        12 0.74 0.553 0.45   1
## interesting     17 0.74 0.544 0.46   1
## organized       23 0.74 0.541 0.46   1
## balanced         4 0.73 0.539 0.46   1
## inviting        18 0.73 0.535 0.47   1
## tasteful        30 0.72 0.518 0.48   1
## clean            6 0.64 0.413 0.59   1
## sophisticated   29 0.63 0.403 0.60   1
## colorHarmonious  8 0.63 0.403 0.60   1
## professional    26 0.61 0.374 0.63   1
## creative         9 0.60 0.362 0.64   1
## artistic         2 0.59 0.347 0.65   1
## provoking       27 0.28 0.081 0.92   1
## cluttered        7 0.15 0.022 0.98   1
## 
##                  PA1
## SS loadings    16.77
## Proportion Var  0.54
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.05
## The degrees of freedom for the model are 434  and the objective function was  5.73 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2    h2   u2 com
## pretty            25  0.79 0.26 0.692 0.31 1.2
## beautiful          5  0.78 0.29 0.697 0.30 1.3
## attractive         3  0.77 0.33 0.706 0.29 1.4
## appealing          1  0.75 0.41 0.730 0.27 1.6
## fascinating       15  0.74 0.30 0.640 0.36 1.3
## enjoyable         13  0.74 0.45 0.751 0.25 1.7
## pleasing          24  0.73 0.49 0.778 0.22 1.7
## nice              22  0.73 0.40 0.696 0.30 1.6
## likable           19  0.70 0.51 0.752 0.25 1.8
## artistic           2  0.67 0.10 0.465 0.54 1.0
## exciting          14  0.67 0.38 0.595 0.40 1.6
## lovely            20  0.67 0.48 0.670 0.33 1.8
## creative           9  0.65 0.15 0.443 0.56 1.1
## delightful        10  0.64 0.55 0.715 0.29 1.9
## interesting       17  0.64 0.38 0.553 0.45 1.6
## satisfying        28  0.61 0.58 0.701 0.30 2.0
## tasteful          30  0.58 0.43 0.517 0.48 1.8
## colorHarmonious    8  0.53 0.35 0.406 0.59 1.7
## engaging          12  0.53 0.53 0.559 0.44 2.0
## sophisticated     29  0.46 0.44 0.407 0.59 2.0
## provoking         27  0.31 0.06 0.101 0.90 1.1
## organized         23  0.32 0.79 0.732 0.27 1.3
## balanced           4  0.38 0.72 0.654 0.35 1.5
## clean              6  0.27 0.70 0.568 0.43 1.3
## professional      26  0.24 0.69 0.530 0.47 1.2
## harmonious        16  0.45 0.63 0.607 0.39 1.8
## motivating        21  0.50 0.61 0.617 0.38 1.9
## wellDesigned      31  0.51 0.60 0.614 0.39 1.9
## elegant           11  0.53 0.58 0.621 0.38 2.0
## inviting          18  0.52 0.53 0.543 0.46 2.0
## cluttered          7 -0.01 0.26 0.067 0.93 1.0
## 
##                         PA1  PA2
## SS loadings           10.86 7.26
## Proportion Var         0.35 0.23
## Cumulative Var         0.35 0.58
## Proportion Explained   0.60 0.40
## Cumulative Proportion  0.60 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.05
## The degrees of freedom for the model are 404  and the objective function was  4.16 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.92
## Multiple R square of scores with factors          0.90 0.85
## Minimum correlation of possible factor scores     0.80 0.71
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## pretty            25  0.90 -0.10 0.692 0.31 1.0
## beautiful          5  0.88 -0.07 0.697 0.30 1.0
## artistic           2  0.84 -0.25 0.465 0.54 1.2
## attractive         3  0.84  0.00 0.706 0.29 1.0
## fascinating       15  0.82 -0.02 0.640 0.36 1.0
## creative           9  0.78 -0.17 0.443 0.56 1.1
## appealing          1  0.76  0.13 0.730 0.27 1.1
## nice              22  0.75  0.12 0.696 0.30 1.0
## enjoyable         13  0.73  0.18 0.751 0.25 1.1
## pleasing          24  0.70  0.23 0.778 0.22 1.2
## exciting          14  0.68  0.12 0.595 0.40 1.1
## likable           19  0.64  0.28 0.752 0.25 1.4
## interesting       17  0.64  0.14 0.553 0.45 1.1
## lovely            20  0.62  0.25 0.670 0.33 1.3
## delightful        10  0.55  0.36 0.715 0.29 1.7
## tasteful          30  0.52  0.24 0.517 0.48 1.4
## colorHarmonious    8  0.51  0.16 0.406 0.59 1.2
## satisfying        28  0.48  0.42 0.701 0.30 2.0
## engaging          12  0.41  0.40 0.559 0.44 2.0
## provoking         27  0.38 -0.09 0.101 0.90 1.1
## sophisticated     29  0.36  0.33 0.407 0.59 2.0
## organized         23 -0.03  0.88 0.732 0.27 1.0
## clean              6 -0.04  0.79 0.568 0.43 1.0
## professional      26 -0.07  0.78 0.530 0.47 1.0
## balanced           4  0.09  0.74 0.654 0.35 1.0
## harmonious        16  0.24  0.58 0.607 0.39 1.3
## motivating        21  0.31  0.53 0.617 0.38 1.6
## wellDesigned      31  0.33  0.51 0.614 0.39 1.7
## elegant           11  0.37  0.47 0.621 0.38 1.9
## inviting          18  0.39  0.41 0.543 0.46 2.0
## cluttered          7 -0.17  0.35 0.067 0.93 1.4
## 
##                         PA1  PA2
## SS loadings           11.66 6.47
## Proportion Var         0.38 0.21
## Cumulative Var         0.38 0.58
## Proportion Explained   0.64 0.36
## Cumulative Proportion  0.64 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.73
## PA2 0.73 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.05
## The degrees of freedom for the model are 404  and the objective function was  4.16 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.93
## Minimum correlation of possible factor scores     0.93 0.87

## Warning in readfun(f, ...): libpng warning: iCCP: known incorrect sRGB profile

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.88 0.774 0.23   1
## likable         19 0.87 0.752 0.25   1
## enjoyable       13 0.86 0.741 0.26   1
## delightful      10 0.85 0.716 0.28   1
## appealing        1 0.84 0.711 0.29   1
## satisfying      28 0.83 0.696 0.30   1
## nice            22 0.82 0.677 0.32   1
## lovely          20 0.82 0.670 0.33   1
## attractive       3 0.81 0.658 0.34   1
## beautiful        5 0.79 0.626 0.37   1
## pretty          25 0.78 0.607 0.39   1
## elegant         11 0.78 0.604 0.40   1
## wellDesigned    31 0.77 0.589 0.41   1
## fascinating     15 0.77 0.588 0.41   1
## motivating      21 0.77 0.587 0.41   1
## exciting        14 0.76 0.582 0.42   1
## harmonious      16 0.75 0.559 0.44   1
## engaging        12 0.74 0.553 0.45   1
## interesting     17 0.74 0.544 0.46   1
## organized       23 0.74 0.541 0.46   1
## balanced         4 0.73 0.539 0.46   1
## inviting        18 0.73 0.535 0.47   1
## tasteful        30 0.72 0.518 0.48   1
## clean            6 0.64 0.413 0.59   1
## sophisticated   29 0.63 0.403 0.60   1
## colorHarmonious  8 0.63 0.403 0.60   1
## professional    26 0.61 0.374 0.63   1
## creative         9 0.60 0.362 0.64   1
## artistic         2 0.59 0.347 0.65   1
## provoking       27 0.28 0.081 0.92   1
## cluttered        7 0.15 0.022 0.98   1
## 
##                  PA1
## SS loadings    16.77
## Proportion Var  0.54
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.05
## The degrees of freedom for the model are 434  and the objective function was  5.73 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2    h2   u2 com
## pretty            25  0.79 0.26 0.692 0.31 1.2
## beautiful          5  0.78 0.29 0.697 0.30 1.3
## attractive         3  0.77 0.33 0.706 0.29 1.4
## appealing          1  0.75 0.41 0.730 0.27 1.6
## fascinating       15  0.74 0.30 0.640 0.36 1.3
## enjoyable         13  0.74 0.45 0.751 0.25 1.7
## pleasing          24  0.73 0.49 0.778 0.22 1.7
## nice              22  0.73 0.40 0.696 0.30 1.6
## likable           19  0.70 0.51 0.752 0.25 1.8
## artistic           2  0.67 0.10 0.465 0.54 1.0
## exciting          14  0.67 0.38 0.595 0.40 1.6
## lovely            20  0.67 0.48 0.670 0.33 1.8
## creative           9  0.65 0.15 0.443 0.56 1.1
## delightful        10  0.64 0.55 0.715 0.29 1.9
## interesting       17  0.64 0.38 0.553 0.45 1.6
## satisfying        28  0.61 0.58 0.701 0.30 2.0
## tasteful          30  0.58 0.43 0.517 0.48 1.8
## colorHarmonious    8  0.53 0.35 0.406 0.59 1.7
## engaging          12  0.53 0.53 0.559 0.44 2.0
## sophisticated     29  0.46 0.44 0.407 0.59 2.0
## provoking         27  0.31 0.06 0.101 0.90 1.1
## organized         23  0.32 0.79 0.732 0.27 1.3
## balanced           4  0.38 0.72 0.654 0.35 1.5
## clean              6  0.27 0.70 0.568 0.43 1.3
## professional      26  0.24 0.69 0.530 0.47 1.2
## harmonious        16  0.45 0.63 0.607 0.39 1.8
## motivating        21  0.50 0.61 0.617 0.38 1.9
## wellDesigned      31  0.51 0.60 0.614 0.39 1.9
## elegant           11  0.53 0.58 0.621 0.38 2.0
## inviting          18  0.52 0.53 0.543 0.46 2.0
## cluttered          7 -0.01 0.26 0.067 0.93 1.0
## 
##                         PA1  PA2
## SS loadings           10.86 7.26
## Proportion Var         0.35 0.23
## Cumulative Var         0.35 0.58
## Proportion Explained   0.60 0.40
## Cumulative Proportion  0.60 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.05
## The degrees of freedom for the model are 404  and the objective function was  4.16 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.92
## Multiple R square of scores with factors          0.90 0.85
## Minimum correlation of possible factor scores     0.80 0.71
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## pretty            25  0.90 -0.10 0.692 0.31 1.0
## beautiful          5  0.88 -0.07 0.697 0.30 1.0
## artistic           2  0.84 -0.25 0.465 0.54 1.2
## attractive         3  0.84  0.00 0.706 0.29 1.0
## fascinating       15  0.82 -0.02 0.640 0.36 1.0
## creative           9  0.78 -0.17 0.443 0.56 1.1
## appealing          1  0.76  0.13 0.730 0.27 1.1
## nice              22  0.75  0.12 0.696 0.30 1.0
## enjoyable         13  0.73  0.18 0.751 0.25 1.1
## pleasing          24  0.70  0.23 0.778 0.22 1.2
## exciting          14  0.68  0.12 0.595 0.40 1.1
## likable           19  0.64  0.28 0.752 0.25 1.4
## interesting       17  0.64  0.14 0.553 0.45 1.1
## lovely            20  0.62  0.25 0.670 0.33 1.3
## delightful        10  0.55  0.36 0.715 0.29 1.7
## tasteful          30  0.52  0.24 0.517 0.48 1.4
## colorHarmonious    8  0.51  0.16 0.406 0.59 1.2
## satisfying        28  0.48  0.42 0.701 0.30 2.0
## engaging          12  0.41  0.40 0.559 0.44 2.0
## provoking         27  0.38 -0.09 0.101 0.90 1.1
## sophisticated     29  0.36  0.33 0.407 0.59 2.0
## organized         23 -0.03  0.88 0.732 0.27 1.0
## clean              6 -0.04  0.79 0.568 0.43 1.0
## professional      26 -0.07  0.78 0.530 0.47 1.0
## balanced           4  0.09  0.74 0.654 0.35 1.0
## harmonious        16  0.24  0.58 0.607 0.39 1.3
## motivating        21  0.31  0.53 0.617 0.38 1.6
## wellDesigned      31  0.33  0.51 0.614 0.39 1.7
## elegant           11  0.37  0.47 0.621 0.38 1.9
## inviting          18  0.39  0.41 0.543 0.46 2.0
## cluttered          7 -0.17  0.35 0.067 0.93 1.4
## 
##                         PA1  PA2
## SS loadings           11.66 6.47
## Proportion Var         0.38 0.21
## Cumulative Var         0.38 0.58
## Proportion Explained   0.64 0.36
## Cumulative Proportion  0.64 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.73
## PA2 0.73 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.05
## The degrees of freedom for the model are 404  and the objective function was  4.16 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.93
## Minimum correlation of possible factor scores     0.93 0.87

## Warning in readfun(f, ...): libpng warning: iCCP: known incorrect sRGB profile

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.88 0.774 0.23   1
## likable         19 0.87 0.752 0.25   1
## enjoyable       13 0.86 0.741 0.26   1
## delightful      10 0.85 0.716 0.28   1
## appealing        1 0.84 0.711 0.29   1
## satisfying      28 0.83 0.696 0.30   1
## nice            22 0.82 0.677 0.32   1
## lovely          20 0.82 0.670 0.33   1
## attractive       3 0.81 0.658 0.34   1
## beautiful        5 0.79 0.626 0.37   1
## pretty          25 0.78 0.607 0.39   1
## elegant         11 0.78 0.604 0.40   1
## wellDesigned    31 0.77 0.589 0.41   1
## fascinating     15 0.77 0.588 0.41   1
## motivating      21 0.77 0.587 0.41   1
## exciting        14 0.76 0.582 0.42   1
## harmonious      16 0.75 0.559 0.44   1
## engaging        12 0.74 0.553 0.45   1
## interesting     17 0.74 0.544 0.46   1
## organized       23 0.74 0.541 0.46   1
## balanced         4 0.73 0.539 0.46   1
## inviting        18 0.73 0.535 0.47   1
## tasteful        30 0.72 0.518 0.48   1
## clean            6 0.64 0.413 0.59   1
## sophisticated   29 0.63 0.403 0.60   1
## colorHarmonious  8 0.63 0.403 0.60   1
## professional    26 0.61 0.374 0.63   1
## creative         9 0.60 0.362 0.64   1
## artistic         2 0.59 0.347 0.65   1
## provoking       27 0.28 0.081 0.92   1
## cluttered        7 0.15 0.022 0.98   1
## 
##                  PA1
## SS loadings    16.77
## Proportion Var  0.54
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.05
## The degrees of freedom for the model are 434  and the objective function was  5.73 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2    h2   u2 com
## pretty            25  0.79 0.26 0.692 0.31 1.2
## beautiful          5  0.78 0.29 0.697 0.30 1.3
## attractive         3  0.77 0.33 0.706 0.29 1.4
## appealing          1  0.75 0.41 0.730 0.27 1.6
## fascinating       15  0.74 0.30 0.640 0.36 1.3
## enjoyable         13  0.74 0.45 0.751 0.25 1.7
## pleasing          24  0.73 0.49 0.778 0.22 1.7
## nice              22  0.73 0.40 0.696 0.30 1.6
## likable           19  0.70 0.51 0.752 0.25 1.8
## artistic           2  0.67 0.10 0.465 0.54 1.0
## exciting          14  0.67 0.38 0.595 0.40 1.6
## lovely            20  0.67 0.48 0.670 0.33 1.8
## creative           9  0.65 0.15 0.443 0.56 1.1
## delightful        10  0.64 0.55 0.715 0.29 1.9
## interesting       17  0.64 0.38 0.553 0.45 1.6
## satisfying        28  0.61 0.58 0.701 0.30 2.0
## tasteful          30  0.58 0.43 0.517 0.48 1.8
## colorHarmonious    8  0.53 0.35 0.406 0.59 1.7
## engaging          12  0.53 0.53 0.559 0.44 2.0
## sophisticated     29  0.46 0.44 0.407 0.59 2.0
## provoking         27  0.31 0.06 0.101 0.90 1.1
## organized         23  0.32 0.79 0.732 0.27 1.3
## balanced           4  0.38 0.72 0.654 0.35 1.5
## clean              6  0.27 0.70 0.568 0.43 1.3
## professional      26  0.24 0.69 0.530 0.47 1.2
## harmonious        16  0.45 0.63 0.607 0.39 1.8
## motivating        21  0.50 0.61 0.617 0.38 1.9
## wellDesigned      31  0.51 0.60 0.614 0.39 1.9
## elegant           11  0.53 0.58 0.621 0.38 2.0
## inviting          18  0.52 0.53 0.543 0.46 2.0
## cluttered          7 -0.01 0.26 0.067 0.93 1.0
## 
##                         PA1  PA2
## SS loadings           10.86 7.26
## Proportion Var         0.35 0.23
## Cumulative Var         0.35 0.58
## Proportion Explained   0.60 0.40
## Cumulative Proportion  0.60 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.05
## The degrees of freedom for the model are 404  and the objective function was  4.16 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.92
## Multiple R square of scores with factors          0.90 0.85
## Minimum correlation of possible factor scores     0.80 0.71
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## pretty            25  0.90 -0.10 0.692 0.31 1.0
## beautiful          5  0.88 -0.07 0.697 0.30 1.0
## artistic           2  0.84 -0.25 0.465 0.54 1.2
## attractive         3  0.84  0.00 0.706 0.29 1.0
## fascinating       15  0.82 -0.02 0.640 0.36 1.0
## creative           9  0.78 -0.17 0.443 0.56 1.1
## appealing          1  0.76  0.13 0.730 0.27 1.1
## nice              22  0.75  0.12 0.696 0.30 1.0
## enjoyable         13  0.73  0.18 0.751 0.25 1.1
## pleasing          24  0.70  0.23 0.778 0.22 1.2
## exciting          14  0.68  0.12 0.595 0.40 1.1
## likable           19  0.64  0.28 0.752 0.25 1.4
## interesting       17  0.64  0.14 0.553 0.45 1.1
## lovely            20  0.62  0.25 0.670 0.33 1.3
## delightful        10  0.55  0.36 0.715 0.29 1.7
## tasteful          30  0.52  0.24 0.517 0.48 1.4
## colorHarmonious    8  0.51  0.16 0.406 0.59 1.2
## satisfying        28  0.48  0.42 0.701 0.30 2.0
## engaging          12  0.41  0.40 0.559 0.44 2.0
## provoking         27  0.38 -0.09 0.101 0.90 1.1
## sophisticated     29  0.36  0.33 0.407 0.59 2.0
## organized         23 -0.03  0.88 0.732 0.27 1.0
## clean              6 -0.04  0.79 0.568 0.43 1.0
## professional      26 -0.07  0.78 0.530 0.47 1.0
## balanced           4  0.09  0.74 0.654 0.35 1.0
## harmonious        16  0.24  0.58 0.607 0.39 1.3
## motivating        21  0.31  0.53 0.617 0.38 1.6
## wellDesigned      31  0.33  0.51 0.614 0.39 1.7
## elegant           11  0.37  0.47 0.621 0.38 1.9
## inviting          18  0.39  0.41 0.543 0.46 2.0
## cluttered          7 -0.17  0.35 0.067 0.93 1.4
## 
##                         PA1  PA2
## SS loadings           11.66 6.47
## Proportion Var         0.38 0.21
## Cumulative Var         0.38 0.58
## Proportion Explained   0.64 0.36
## Cumulative Proportion  0.64 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.73
## PA2 0.73 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.05
## The degrees of freedom for the model are 404  and the objective function was  4.16 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.93
## Minimum correlation of possible factor scores     0.93 0.87

## Warning in readfun(f, ...): libpng warning: iCCP: known incorrect sRGB profile

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.88 0.774 0.23   1
## likable         19 0.87 0.752 0.25   1
## enjoyable       13 0.86 0.741 0.26   1
## delightful      10 0.85 0.716 0.28   1
## appealing        1 0.84 0.711 0.29   1
## satisfying      28 0.83 0.696 0.30   1
## nice            22 0.82 0.677 0.32   1
## lovely          20 0.82 0.670 0.33   1
## attractive       3 0.81 0.658 0.34   1
## beautiful        5 0.79 0.626 0.37   1
## pretty          25 0.78 0.607 0.39   1
## elegant         11 0.78 0.604 0.40   1
## wellDesigned    31 0.77 0.589 0.41   1
## fascinating     15 0.77 0.588 0.41   1
## motivating      21 0.77 0.587 0.41   1
## exciting        14 0.76 0.582 0.42   1
## harmonious      16 0.75 0.559 0.44   1
## engaging        12 0.74 0.553 0.45   1
## interesting     17 0.74 0.544 0.46   1
## organized       23 0.74 0.541 0.46   1
## balanced         4 0.73 0.539 0.46   1
## inviting        18 0.73 0.535 0.47   1
## tasteful        30 0.72 0.518 0.48   1
## clean            6 0.64 0.413 0.59   1
## sophisticated   29 0.63 0.403 0.60   1
## colorHarmonious  8 0.63 0.403 0.60   1
## professional    26 0.61 0.374 0.63   1
## creative         9 0.60 0.362 0.64   1
## artistic         2 0.59 0.347 0.65   1
## provoking       27 0.28 0.081 0.92   1
## cluttered        7 0.15 0.022 0.98   1
## 
##                  PA1
## SS loadings    16.77
## Proportion Var  0.54
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.05
## The degrees of freedom for the model are 434  and the objective function was  5.73 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2    h2   u2 com
## pretty            25  0.79 0.26 0.692 0.31 1.2
## beautiful          5  0.78 0.29 0.697 0.30 1.3
## attractive         3  0.77 0.33 0.706 0.29 1.4
## appealing          1  0.75 0.41 0.730 0.27 1.6
## fascinating       15  0.74 0.30 0.640 0.36 1.3
## enjoyable         13  0.74 0.45 0.751 0.25 1.7
## pleasing          24  0.73 0.49 0.778 0.22 1.7
## nice              22  0.73 0.40 0.696 0.30 1.6
## likable           19  0.70 0.51 0.752 0.25 1.8
## artistic           2  0.67 0.10 0.465 0.54 1.0
## exciting          14  0.67 0.38 0.595 0.40 1.6
## lovely            20  0.67 0.48 0.670 0.33 1.8
## creative           9  0.65 0.15 0.443 0.56 1.1
## delightful        10  0.64 0.55 0.715 0.29 1.9
## interesting       17  0.64 0.38 0.553 0.45 1.6
## satisfying        28  0.61 0.58 0.701 0.30 2.0
## tasteful          30  0.58 0.43 0.517 0.48 1.8
## colorHarmonious    8  0.53 0.35 0.406 0.59 1.7
## engaging          12  0.53 0.53 0.559 0.44 2.0
## sophisticated     29  0.46 0.44 0.407 0.59 2.0
## provoking         27  0.31 0.06 0.101 0.90 1.1
## organized         23  0.32 0.79 0.732 0.27 1.3
## balanced           4  0.38 0.72 0.654 0.35 1.5
## clean              6  0.27 0.70 0.568 0.43 1.3
## professional      26  0.24 0.69 0.530 0.47 1.2
## harmonious        16  0.45 0.63 0.607 0.39 1.8
## motivating        21  0.50 0.61 0.617 0.38 1.9
## wellDesigned      31  0.51 0.60 0.614 0.39 1.9
## elegant           11  0.53 0.58 0.621 0.38 2.0
## inviting          18  0.52 0.53 0.543 0.46 2.0
## cluttered          7 -0.01 0.26 0.067 0.93 1.0
## 
##                         PA1  PA2
## SS loadings           10.86 7.26
## Proportion Var         0.35 0.23
## Cumulative Var         0.35 0.58
## Proportion Explained   0.60 0.40
## Cumulative Proportion  0.60 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.05
## The degrees of freedom for the model are 404  and the objective function was  4.16 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.92
## Multiple R square of scores with factors          0.90 0.85
## Minimum correlation of possible factor scores     0.80 0.71
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## pretty            25  0.90 -0.10 0.692 0.31 1.0
## beautiful          5  0.88 -0.07 0.697 0.30 1.0
## artistic           2  0.84 -0.25 0.465 0.54 1.2
## attractive         3  0.84  0.00 0.706 0.29 1.0
## fascinating       15  0.82 -0.02 0.640 0.36 1.0
## creative           9  0.78 -0.17 0.443 0.56 1.1
## appealing          1  0.76  0.13 0.730 0.27 1.1
## nice              22  0.75  0.12 0.696 0.30 1.0
## enjoyable         13  0.73  0.18 0.751 0.25 1.1
## pleasing          24  0.70  0.23 0.778 0.22 1.2
## exciting          14  0.68  0.12 0.595 0.40 1.1
## likable           19  0.64  0.28 0.752 0.25 1.4
## interesting       17  0.64  0.14 0.553 0.45 1.1
## lovely            20  0.62  0.25 0.670 0.33 1.3
## delightful        10  0.55  0.36 0.715 0.29 1.7
## tasteful          30  0.52  0.24 0.517 0.48 1.4
## colorHarmonious    8  0.51  0.16 0.406 0.59 1.2
## satisfying        28  0.48  0.42 0.701 0.30 2.0
## engaging          12  0.41  0.40 0.559 0.44 2.0
## provoking         27  0.38 -0.09 0.101 0.90 1.1
## sophisticated     29  0.36  0.33 0.407 0.59 2.0
## organized         23 -0.03  0.88 0.732 0.27 1.0
## clean              6 -0.04  0.79 0.568 0.43 1.0
## professional      26 -0.07  0.78 0.530 0.47 1.0
## balanced           4  0.09  0.74 0.654 0.35 1.0
## harmonious        16  0.24  0.58 0.607 0.39 1.3
## motivating        21  0.31  0.53 0.617 0.38 1.6
## wellDesigned      31  0.33  0.51 0.614 0.39 1.7
## elegant           11  0.37  0.47 0.621 0.38 1.9
## inviting          18  0.39  0.41 0.543 0.46 2.0
## cluttered          7 -0.17  0.35 0.067 0.93 1.4
## 
##                         PA1  PA2
## SS loadings           11.66 6.47
## Proportion Var         0.38 0.21
## Cumulative Var         0.38 0.58
## Proportion Explained   0.64 0.36
## Cumulative Proportion  0.64 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.73
## PA2 0.73 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.05
## The degrees of freedom for the model are 404  and the objective function was  4.16 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.93
## Minimum correlation of possible factor scores     0.93 0.87

## Warning in readfun(f, ...): libpng warning: iCCP: known incorrect sRGB profile

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.88 0.774 0.23   1
## likable         19 0.87 0.752 0.25   1
## enjoyable       13 0.86 0.741 0.26   1
## delightful      10 0.85 0.716 0.28   1
## appealing        1 0.84 0.711 0.29   1
## satisfying      28 0.83 0.696 0.30   1
## nice            22 0.82 0.677 0.32   1
## lovely          20 0.82 0.670 0.33   1
## attractive       3 0.81 0.658 0.34   1
## beautiful        5 0.79 0.626 0.37   1
## pretty          25 0.78 0.607 0.39   1
## elegant         11 0.78 0.604 0.40   1
## wellDesigned    31 0.77 0.589 0.41   1
## fascinating     15 0.77 0.588 0.41   1
## motivating      21 0.77 0.587 0.41   1
## exciting        14 0.76 0.582 0.42   1
## harmonious      16 0.75 0.559 0.44   1
## engaging        12 0.74 0.553 0.45   1
## interesting     17 0.74 0.544 0.46   1
## organized       23 0.74 0.541 0.46   1
## balanced         4 0.73 0.539 0.46   1
## inviting        18 0.73 0.535 0.47   1
## tasteful        30 0.72 0.518 0.48   1
## clean            6 0.64 0.413 0.59   1
## sophisticated   29 0.63 0.403 0.60   1
## colorHarmonious  8 0.63 0.403 0.60   1
## professional    26 0.61 0.374 0.63   1
## creative         9 0.60 0.362 0.64   1
## artistic         2 0.59 0.347 0.65   1
## provoking       27 0.28 0.081 0.92   1
## cluttered        7 0.15 0.022 0.98   1
## 
##                  PA1
## SS loadings    16.77
## Proportion Var  0.54
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.05
## The degrees of freedom for the model are 434  and the objective function was  5.73 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2    h2   u2 com
## pretty            25  0.79 0.26 0.692 0.31 1.2
## beautiful          5  0.78 0.29 0.697 0.30 1.3
## attractive         3  0.77 0.33 0.706 0.29 1.4
## appealing          1  0.75 0.41 0.730 0.27 1.6
## fascinating       15  0.74 0.30 0.640 0.36 1.3
## enjoyable         13  0.74 0.45 0.751 0.25 1.7
## pleasing          24  0.73 0.49 0.778 0.22 1.7
## nice              22  0.73 0.40 0.696 0.30 1.6
## likable           19  0.70 0.51 0.752 0.25 1.8
## artistic           2  0.67 0.10 0.465 0.54 1.0
## exciting          14  0.67 0.38 0.595 0.40 1.6
## lovely            20  0.67 0.48 0.670 0.33 1.8
## creative           9  0.65 0.15 0.443 0.56 1.1
## delightful        10  0.64 0.55 0.715 0.29 1.9
## interesting       17  0.64 0.38 0.553 0.45 1.6
## satisfying        28  0.61 0.58 0.701 0.30 2.0
## tasteful          30  0.58 0.43 0.517 0.48 1.8
## colorHarmonious    8  0.53 0.35 0.406 0.59 1.7
## engaging          12  0.53 0.53 0.559 0.44 2.0
## sophisticated     29  0.46 0.44 0.407 0.59 2.0
## provoking         27  0.31 0.06 0.101 0.90 1.1
## organized         23  0.32 0.79 0.732 0.27 1.3
## balanced           4  0.38 0.72 0.654 0.35 1.5
## clean              6  0.27 0.70 0.568 0.43 1.3
## professional      26  0.24 0.69 0.530 0.47 1.2
## harmonious        16  0.45 0.63 0.607 0.39 1.8
## motivating        21  0.50 0.61 0.617 0.38 1.9
## wellDesigned      31  0.51 0.60 0.614 0.39 1.9
## elegant           11  0.53 0.58 0.621 0.38 2.0
## inviting          18  0.52 0.53 0.543 0.46 2.0
## cluttered          7 -0.01 0.26 0.067 0.93 1.0
## 
##                         PA1  PA2
## SS loadings           10.86 7.26
## Proportion Var         0.35 0.23
## Cumulative Var         0.35 0.58
## Proportion Explained   0.60 0.40
## Cumulative Proportion  0.60 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.05
## The degrees of freedom for the model are 404  and the objective function was  4.16 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.92
## Multiple R square of scores with factors          0.90 0.85
## Minimum correlation of possible factor scores     0.80 0.71
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## pretty            25  0.90 -0.10 0.692 0.31 1.0
## beautiful          5  0.88 -0.07 0.697 0.30 1.0
## artistic           2  0.84 -0.25 0.465 0.54 1.2
## attractive         3  0.84  0.00 0.706 0.29 1.0
## fascinating       15  0.82 -0.02 0.640 0.36 1.0
## creative           9  0.78 -0.17 0.443 0.56 1.1
## appealing          1  0.76  0.13 0.730 0.27 1.1
## nice              22  0.75  0.12 0.696 0.30 1.0
## enjoyable         13  0.73  0.18 0.751 0.25 1.1
## pleasing          24  0.70  0.23 0.778 0.22 1.2
## exciting          14  0.68  0.12 0.595 0.40 1.1
## likable           19  0.64  0.28 0.752 0.25 1.4
## interesting       17  0.64  0.14 0.553 0.45 1.1
## lovely            20  0.62  0.25 0.670 0.33 1.3
## delightful        10  0.55  0.36 0.715 0.29 1.7
## tasteful          30  0.52  0.24 0.517 0.48 1.4
## colorHarmonious    8  0.51  0.16 0.406 0.59 1.2
## satisfying        28  0.48  0.42 0.701 0.30 2.0
## engaging          12  0.41  0.40 0.559 0.44 2.0
## provoking         27  0.38 -0.09 0.101 0.90 1.1
## sophisticated     29  0.36  0.33 0.407 0.59 2.0
## organized         23 -0.03  0.88 0.732 0.27 1.0
## clean              6 -0.04  0.79 0.568 0.43 1.0
## professional      26 -0.07  0.78 0.530 0.47 1.0
## balanced           4  0.09  0.74 0.654 0.35 1.0
## harmonious        16  0.24  0.58 0.607 0.39 1.3
## motivating        21  0.31  0.53 0.617 0.38 1.6
## wellDesigned      31  0.33  0.51 0.614 0.39 1.7
## elegant           11  0.37  0.47 0.621 0.38 1.9
## inviting          18  0.39  0.41 0.543 0.46 2.0
## cluttered          7 -0.17  0.35 0.067 0.93 1.4
## 
##                         PA1  PA2
## SS loadings           11.66 6.47
## Proportion Var         0.38 0.21
## Cumulative Var         0.38 0.58
## Proportion Explained   0.64 0.36
## Cumulative Proportion  0.64 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.73
## PA2 0.73 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.05
## The degrees of freedom for the model are 404  and the objective function was  4.16 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.93
## Minimum correlation of possible factor scores     0.93 0.87
## 
## 
## ## Image  5

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.89 0.792 0.21   1
## nice            22 0.87 0.766 0.23   1
## appealing        1 0.87 0.750 0.25   1
## likable         19 0.86 0.746 0.25   1
## enjoyable       13 0.86 0.746 0.25   1
## attractive       3 0.86 0.743 0.26   1
## satisfying      28 0.85 0.725 0.28   1
## beautiful        5 0.84 0.698 0.30   1
## delightful      10 0.83 0.689 0.31   1
## motivating      21 0.83 0.685 0.31   1
## inviting        18 0.82 0.675 0.32   1
## harmonious      16 0.82 0.675 0.33   1
## exciting        14 0.81 0.663 0.34   1
## wellDesigned    31 0.81 0.657 0.34   1
## pretty          25 0.81 0.652 0.35   1
## lovely          20 0.80 0.637 0.36   1
## engaging        12 0.78 0.613 0.39   1
## tasteful        30 0.77 0.587 0.41   1
## interesting     17 0.76 0.577 0.42   1
## elegant         11 0.74 0.544 0.46   1
## balanced         4 0.71 0.510 0.49   1
## clean            6 0.70 0.489 0.51   1
## fascinating     15 0.70 0.486 0.51   1
## organized       23 0.67 0.454 0.55   1
## creative         9 0.67 0.450 0.55   1
## artistic         2 0.66 0.432 0.57   1
## colorHarmonious  8 0.64 0.405 0.59   1
## professional    26 0.62 0.382 0.62   1
## sophisticated   29 0.61 0.368 0.63   1
## cluttered        7 0.39 0.150 0.85   1
## provoking       27 0.28 0.079 0.92   1
## 
##                  PA1
## SS loadings    17.83
## Proportion Var  0.58
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.56
## The degrees of freedom for the model are 434  and the objective function was  5.71 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## exciting          14 0.79 0.35 0.737 0.26 1.4
## fascinating       15 0.78 0.18 0.637 0.36 1.1
## beautiful          5 0.77 0.39 0.747 0.25 1.5
## interesting       17 0.76 0.29 0.664 0.34 1.3
## attractive         3 0.72 0.49 0.756 0.24 1.8
## enjoyable         13 0.71 0.50 0.754 0.25 1.8
## pretty            25 0.70 0.43 0.674 0.33 1.7
## creative           9 0.70 0.23 0.537 0.46 1.2
## artistic           2 0.69 0.21 0.527 0.47 1.2
## likable           19 0.68 0.54 0.747 0.25 1.9
## appealing          1 0.67 0.55 0.749 0.25 1.9
## satisfying        28 0.66 0.54 0.724 0.28 1.9
## nice              22 0.65 0.59 0.764 0.24 2.0
## pleasing          24 0.64 0.62 0.791 0.21 2.0
## lovely            20 0.63 0.49 0.639 0.36 1.9
## motivating        21 0.63 0.53 0.684 0.32 1.9
## delightful        10 0.63 0.54 0.687 0.31 2.0
## engaging          12 0.62 0.48 0.615 0.38 1.9
## provoking         27 0.30 0.09 0.096 0.90 1.2
## organized         23 0.17 0.84 0.733 0.27 1.1
## clean              6 0.25 0.78 0.674 0.33 1.2
## balanced           4 0.30 0.74 0.641 0.36 1.3
## wellDesigned      31 0.46 0.70 0.704 0.30 1.7
## professional      26 0.25 0.66 0.493 0.51 1.3
## harmonious        16 0.52 0.65 0.695 0.31 1.9
## inviting          18 0.54 0.63 0.688 0.31 1.9
## elegant           11 0.46 0.60 0.564 0.44 1.9
## tasteful          30 0.53 0.56 0.591 0.41 2.0
## colorHarmonious    8 0.43 0.47 0.408 0.59 2.0
## sophisticated     29 0.41 0.45 0.371 0.63 2.0
## cluttered          7 0.15 0.41 0.194 0.81 1.3
## 
##                         PA1  PA2
## SS loadings           10.60 8.69
## Proportion Var         0.34 0.28
## Cumulative Var         0.34 0.62
## Proportion Explained   0.55 0.45
## Cumulative Proportion  0.55 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.56
## The degrees of freedom for the model are 404  and the objective function was  3.89 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.94
## Multiple R square of scores with factors          0.91 0.89
## Minimum correlation of possible factor scores     0.81 0.77
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## fascinating       15  0.97 -0.25 0.637 0.36 1.1
## exciting          14  0.88 -0.03 0.737 0.26 1.0
## interesting       17  0.88 -0.09 0.664 0.34 1.0
## artistic           2  0.84 -0.15 0.527 0.47 1.1
## creative           9  0.83 -0.13 0.537 0.46 1.0
## beautiful          5  0.82  0.05 0.747 0.25 1.0
## pretty            25  0.71  0.14 0.674 0.33 1.1
## attractive         3  0.70  0.21 0.756 0.24 1.2
## enjoyable         13  0.67  0.24 0.754 0.25 1.3
## likable           19  0.60  0.32 0.747 0.25 1.5
## appealing          1  0.58  0.34 0.749 0.25 1.6
## satisfying        28  0.57  0.33 0.724 0.28 1.6
## lovely            20  0.57  0.27 0.639 0.36 1.4
## engaging          12  0.56  0.26 0.615 0.38 1.4
## motivating        21  0.54  0.34 0.684 0.32 1.7
## delightful        10  0.53  0.35 0.687 0.31 1.7
## nice              22  0.53  0.40 0.764 0.24 1.9
## pleasing          24  0.50  0.45 0.791 0.21 2.0
## provoking         27  0.36 -0.07 0.096 0.90 1.1
## organized         23 -0.31  1.07 0.733 0.27 1.2
## clean              6 -0.16  0.94 0.674 0.33 1.1
## balanced           4 -0.06  0.84 0.641 0.36 1.0
## professional      26 -0.08  0.76 0.493 0.51 1.0
## wellDesigned      31  0.20  0.68 0.704 0.30 1.2
## harmonious        16  0.30  0.58 0.695 0.31 1.5
## elegant           11  0.25  0.54 0.564 0.44 1.4
## inviting          18  0.34  0.54 0.688 0.31 1.7
## cluttered          7 -0.06  0.48 0.194 0.81 1.0
## tasteful          30  0.38  0.44 0.591 0.41 1.9
## colorHarmonious    8  0.31  0.37 0.408 0.59 1.9
## sophisticated     29  0.29  0.36 0.371 0.63 1.9
## 
##                         PA1  PA2
## SS loadings           11.11 8.18
## Proportion Var         0.36 0.26
## Cumulative Var         0.36 0.62
## Proportion Explained   0.58 0.42
## Cumulative Proportion  0.58 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.76
## PA2 0.76 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.56
## The degrees of freedom for the model are 404  and the objective function was  3.89 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.97 0.96
## Minimum correlation of possible factor scores     0.94 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.89 0.792 0.21   1
## nice            22 0.87 0.766 0.23   1
## appealing        1 0.87 0.750 0.25   1
## likable         19 0.86 0.746 0.25   1
## enjoyable       13 0.86 0.746 0.25   1
## attractive       3 0.86 0.743 0.26   1
## satisfying      28 0.85 0.725 0.28   1
## beautiful        5 0.84 0.698 0.30   1
## delightful      10 0.83 0.689 0.31   1
## motivating      21 0.83 0.685 0.31   1
## inviting        18 0.82 0.675 0.32   1
## harmonious      16 0.82 0.675 0.33   1
## exciting        14 0.81 0.663 0.34   1
## wellDesigned    31 0.81 0.657 0.34   1
## pretty          25 0.81 0.652 0.35   1
## lovely          20 0.80 0.637 0.36   1
## engaging        12 0.78 0.613 0.39   1
## tasteful        30 0.77 0.587 0.41   1
## interesting     17 0.76 0.577 0.42   1
## elegant         11 0.74 0.544 0.46   1
## balanced         4 0.71 0.510 0.49   1
## clean            6 0.70 0.489 0.51   1
## fascinating     15 0.70 0.486 0.51   1
## organized       23 0.67 0.454 0.55   1
## creative         9 0.67 0.450 0.55   1
## artistic         2 0.66 0.432 0.57   1
## colorHarmonious  8 0.64 0.405 0.59   1
## professional    26 0.62 0.382 0.62   1
## sophisticated   29 0.61 0.368 0.63   1
## cluttered        7 0.39 0.150 0.85   1
## provoking       27 0.28 0.079 0.92   1
## 
##                  PA1
## SS loadings    17.83
## Proportion Var  0.58
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.56
## The degrees of freedom for the model are 434  and the objective function was  5.71 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## exciting          14 0.79 0.35 0.737 0.26 1.4
## fascinating       15 0.78 0.18 0.637 0.36 1.1
## beautiful          5 0.77 0.39 0.747 0.25 1.5
## interesting       17 0.76 0.29 0.664 0.34 1.3
## attractive         3 0.72 0.49 0.756 0.24 1.8
## enjoyable         13 0.71 0.50 0.754 0.25 1.8
## pretty            25 0.70 0.43 0.674 0.33 1.7
## creative           9 0.70 0.23 0.537 0.46 1.2
## artistic           2 0.69 0.21 0.527 0.47 1.2
## likable           19 0.68 0.54 0.747 0.25 1.9
## appealing          1 0.67 0.55 0.749 0.25 1.9
## satisfying        28 0.66 0.54 0.724 0.28 1.9
## nice              22 0.65 0.59 0.764 0.24 2.0
## pleasing          24 0.64 0.62 0.791 0.21 2.0
## lovely            20 0.63 0.49 0.639 0.36 1.9
## motivating        21 0.63 0.53 0.684 0.32 1.9
## delightful        10 0.63 0.54 0.687 0.31 2.0
## engaging          12 0.62 0.48 0.615 0.38 1.9
## provoking         27 0.30 0.09 0.096 0.90 1.2
## organized         23 0.17 0.84 0.733 0.27 1.1
## clean              6 0.25 0.78 0.674 0.33 1.2
## balanced           4 0.30 0.74 0.641 0.36 1.3
## wellDesigned      31 0.46 0.70 0.704 0.30 1.7
## professional      26 0.25 0.66 0.493 0.51 1.3
## harmonious        16 0.52 0.65 0.695 0.31 1.9
## inviting          18 0.54 0.63 0.688 0.31 1.9
## elegant           11 0.46 0.60 0.564 0.44 1.9
## tasteful          30 0.53 0.56 0.591 0.41 2.0
## colorHarmonious    8 0.43 0.47 0.408 0.59 2.0
## sophisticated     29 0.41 0.45 0.371 0.63 2.0
## cluttered          7 0.15 0.41 0.194 0.81 1.3
## 
##                         PA1  PA2
## SS loadings           10.60 8.69
## Proportion Var         0.34 0.28
## Cumulative Var         0.34 0.62
## Proportion Explained   0.55 0.45
## Cumulative Proportion  0.55 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.56
## The degrees of freedom for the model are 404  and the objective function was  3.89 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.94
## Multiple R square of scores with factors          0.91 0.89
## Minimum correlation of possible factor scores     0.81 0.77
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## fascinating       15  0.97 -0.25 0.637 0.36 1.1
## exciting          14  0.88 -0.03 0.737 0.26 1.0
## interesting       17  0.88 -0.09 0.664 0.34 1.0
## artistic           2  0.84 -0.15 0.527 0.47 1.1
## creative           9  0.83 -0.13 0.537 0.46 1.0
## beautiful          5  0.82  0.05 0.747 0.25 1.0
## pretty            25  0.71  0.14 0.674 0.33 1.1
## attractive         3  0.70  0.21 0.756 0.24 1.2
## enjoyable         13  0.67  0.24 0.754 0.25 1.3
## likable           19  0.60  0.32 0.747 0.25 1.5
## appealing          1  0.58  0.34 0.749 0.25 1.6
## satisfying        28  0.57  0.33 0.724 0.28 1.6
## lovely            20  0.57  0.27 0.639 0.36 1.4
## engaging          12  0.56  0.26 0.615 0.38 1.4
## motivating        21  0.54  0.34 0.684 0.32 1.7
## delightful        10  0.53  0.35 0.687 0.31 1.7
## nice              22  0.53  0.40 0.764 0.24 1.9
## pleasing          24  0.50  0.45 0.791 0.21 2.0
## provoking         27  0.36 -0.07 0.096 0.90 1.1
## organized         23 -0.31  1.07 0.733 0.27 1.2
## clean              6 -0.16  0.94 0.674 0.33 1.1
## balanced           4 -0.06  0.84 0.641 0.36 1.0
## professional      26 -0.08  0.76 0.493 0.51 1.0
## wellDesigned      31  0.20  0.68 0.704 0.30 1.2
## harmonious        16  0.30  0.58 0.695 0.31 1.5
## elegant           11  0.25  0.54 0.564 0.44 1.4
## inviting          18  0.34  0.54 0.688 0.31 1.7
## cluttered          7 -0.06  0.48 0.194 0.81 1.0
## tasteful          30  0.38  0.44 0.591 0.41 1.9
## colorHarmonious    8  0.31  0.37 0.408 0.59 1.9
## sophisticated     29  0.29  0.36 0.371 0.63 1.9
## 
##                         PA1  PA2
## SS loadings           11.11 8.18
## Proportion Var         0.36 0.26
## Cumulative Var         0.36 0.62
## Proportion Explained   0.58 0.42
## Cumulative Proportion  0.58 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.76
## PA2 0.76 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.56
## The degrees of freedom for the model are 404  and the objective function was  3.89 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.97 0.96
## Minimum correlation of possible factor scores     0.94 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.89 0.792 0.21   1
## nice            22 0.87 0.766 0.23   1
## appealing        1 0.87 0.750 0.25   1
## likable         19 0.86 0.746 0.25   1
## enjoyable       13 0.86 0.746 0.25   1
## attractive       3 0.86 0.743 0.26   1
## satisfying      28 0.85 0.725 0.28   1
## beautiful        5 0.84 0.698 0.30   1
## delightful      10 0.83 0.689 0.31   1
## motivating      21 0.83 0.685 0.31   1
## inviting        18 0.82 0.675 0.32   1
## harmonious      16 0.82 0.675 0.33   1
## exciting        14 0.81 0.663 0.34   1
## wellDesigned    31 0.81 0.657 0.34   1
## pretty          25 0.81 0.652 0.35   1
## lovely          20 0.80 0.637 0.36   1
## engaging        12 0.78 0.613 0.39   1
## tasteful        30 0.77 0.587 0.41   1
## interesting     17 0.76 0.577 0.42   1
## elegant         11 0.74 0.544 0.46   1
## balanced         4 0.71 0.510 0.49   1
## clean            6 0.70 0.489 0.51   1
## fascinating     15 0.70 0.486 0.51   1
## organized       23 0.67 0.454 0.55   1
## creative         9 0.67 0.450 0.55   1
## artistic         2 0.66 0.432 0.57   1
## colorHarmonious  8 0.64 0.405 0.59   1
## professional    26 0.62 0.382 0.62   1
## sophisticated   29 0.61 0.368 0.63   1
## cluttered        7 0.39 0.150 0.85   1
## provoking       27 0.28 0.079 0.92   1
## 
##                  PA1
## SS loadings    17.83
## Proportion Var  0.58
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.56
## The degrees of freedom for the model are 434  and the objective function was  5.71 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## exciting          14 0.79 0.35 0.737 0.26 1.4
## fascinating       15 0.78 0.18 0.637 0.36 1.1
## beautiful          5 0.77 0.39 0.747 0.25 1.5
## interesting       17 0.76 0.29 0.664 0.34 1.3
## attractive         3 0.72 0.49 0.756 0.24 1.8
## enjoyable         13 0.71 0.50 0.754 0.25 1.8
## pretty            25 0.70 0.43 0.674 0.33 1.7
## creative           9 0.70 0.23 0.537 0.46 1.2
## artistic           2 0.69 0.21 0.527 0.47 1.2
## likable           19 0.68 0.54 0.747 0.25 1.9
## appealing          1 0.67 0.55 0.749 0.25 1.9
## satisfying        28 0.66 0.54 0.724 0.28 1.9
## nice              22 0.65 0.59 0.764 0.24 2.0
## pleasing          24 0.64 0.62 0.791 0.21 2.0
## lovely            20 0.63 0.49 0.639 0.36 1.9
## motivating        21 0.63 0.53 0.684 0.32 1.9
## delightful        10 0.63 0.54 0.687 0.31 2.0
## engaging          12 0.62 0.48 0.615 0.38 1.9
## provoking         27 0.30 0.09 0.096 0.90 1.2
## organized         23 0.17 0.84 0.733 0.27 1.1
## clean              6 0.25 0.78 0.674 0.33 1.2
## balanced           4 0.30 0.74 0.641 0.36 1.3
## wellDesigned      31 0.46 0.70 0.704 0.30 1.7
## professional      26 0.25 0.66 0.493 0.51 1.3
## harmonious        16 0.52 0.65 0.695 0.31 1.9
## inviting          18 0.54 0.63 0.688 0.31 1.9
## elegant           11 0.46 0.60 0.564 0.44 1.9
## tasteful          30 0.53 0.56 0.591 0.41 2.0
## colorHarmonious    8 0.43 0.47 0.408 0.59 2.0
## sophisticated     29 0.41 0.45 0.371 0.63 2.0
## cluttered          7 0.15 0.41 0.194 0.81 1.3
## 
##                         PA1  PA2
## SS loadings           10.60 8.69
## Proportion Var         0.34 0.28
## Cumulative Var         0.34 0.62
## Proportion Explained   0.55 0.45
## Cumulative Proportion  0.55 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.56
## The degrees of freedom for the model are 404  and the objective function was  3.89 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.94
## Multiple R square of scores with factors          0.91 0.89
## Minimum correlation of possible factor scores     0.81 0.77
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## fascinating       15  0.97 -0.25 0.637 0.36 1.1
## exciting          14  0.88 -0.03 0.737 0.26 1.0
## interesting       17  0.88 -0.09 0.664 0.34 1.0
## artistic           2  0.84 -0.15 0.527 0.47 1.1
## creative           9  0.83 -0.13 0.537 0.46 1.0
## beautiful          5  0.82  0.05 0.747 0.25 1.0
## pretty            25  0.71  0.14 0.674 0.33 1.1
## attractive         3  0.70  0.21 0.756 0.24 1.2
## enjoyable         13  0.67  0.24 0.754 0.25 1.3
## likable           19  0.60  0.32 0.747 0.25 1.5
## appealing          1  0.58  0.34 0.749 0.25 1.6
## satisfying        28  0.57  0.33 0.724 0.28 1.6
## lovely            20  0.57  0.27 0.639 0.36 1.4
## engaging          12  0.56  0.26 0.615 0.38 1.4
## motivating        21  0.54  0.34 0.684 0.32 1.7
## delightful        10  0.53  0.35 0.687 0.31 1.7
## nice              22  0.53  0.40 0.764 0.24 1.9
## pleasing          24  0.50  0.45 0.791 0.21 2.0
## provoking         27  0.36 -0.07 0.096 0.90 1.1
## organized         23 -0.31  1.07 0.733 0.27 1.2
## clean              6 -0.16  0.94 0.674 0.33 1.1
## balanced           4 -0.06  0.84 0.641 0.36 1.0
## professional      26 -0.08  0.76 0.493 0.51 1.0
## wellDesigned      31  0.20  0.68 0.704 0.30 1.2
## harmonious        16  0.30  0.58 0.695 0.31 1.5
## elegant           11  0.25  0.54 0.564 0.44 1.4
## inviting          18  0.34  0.54 0.688 0.31 1.7
## cluttered          7 -0.06  0.48 0.194 0.81 1.0
## tasteful          30  0.38  0.44 0.591 0.41 1.9
## colorHarmonious    8  0.31  0.37 0.408 0.59 1.9
## sophisticated     29  0.29  0.36 0.371 0.63 1.9
## 
##                         PA1  PA2
## SS loadings           11.11 8.18
## Proportion Var         0.36 0.26
## Cumulative Var         0.36 0.62
## Proportion Explained   0.58 0.42
## Cumulative Proportion  0.58 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.76
## PA2 0.76 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.56
## The degrees of freedom for the model are 404  and the objective function was  3.89 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.97 0.96
## Minimum correlation of possible factor scores     0.94 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.89 0.792 0.21   1
## nice            22 0.87 0.766 0.23   1
## appealing        1 0.87 0.750 0.25   1
## likable         19 0.86 0.746 0.25   1
## enjoyable       13 0.86 0.746 0.25   1
## attractive       3 0.86 0.743 0.26   1
## satisfying      28 0.85 0.725 0.28   1
## beautiful        5 0.84 0.698 0.30   1
## delightful      10 0.83 0.689 0.31   1
## motivating      21 0.83 0.685 0.31   1
## inviting        18 0.82 0.675 0.32   1
## harmonious      16 0.82 0.675 0.33   1
## exciting        14 0.81 0.663 0.34   1
## wellDesigned    31 0.81 0.657 0.34   1
## pretty          25 0.81 0.652 0.35   1
## lovely          20 0.80 0.637 0.36   1
## engaging        12 0.78 0.613 0.39   1
## tasteful        30 0.77 0.587 0.41   1
## interesting     17 0.76 0.577 0.42   1
## elegant         11 0.74 0.544 0.46   1
## balanced         4 0.71 0.510 0.49   1
## clean            6 0.70 0.489 0.51   1
## fascinating     15 0.70 0.486 0.51   1
## organized       23 0.67 0.454 0.55   1
## creative         9 0.67 0.450 0.55   1
## artistic         2 0.66 0.432 0.57   1
## colorHarmonious  8 0.64 0.405 0.59   1
## professional    26 0.62 0.382 0.62   1
## sophisticated   29 0.61 0.368 0.63   1
## cluttered        7 0.39 0.150 0.85   1
## provoking       27 0.28 0.079 0.92   1
## 
##                  PA1
## SS loadings    17.83
## Proportion Var  0.58
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.56
## The degrees of freedom for the model are 434  and the objective function was  5.71 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## exciting          14 0.79 0.35 0.737 0.26 1.4
## fascinating       15 0.78 0.18 0.637 0.36 1.1
## beautiful          5 0.77 0.39 0.747 0.25 1.5
## interesting       17 0.76 0.29 0.664 0.34 1.3
## attractive         3 0.72 0.49 0.756 0.24 1.8
## enjoyable         13 0.71 0.50 0.754 0.25 1.8
## pretty            25 0.70 0.43 0.674 0.33 1.7
## creative           9 0.70 0.23 0.537 0.46 1.2
## artistic           2 0.69 0.21 0.527 0.47 1.2
## likable           19 0.68 0.54 0.747 0.25 1.9
## appealing          1 0.67 0.55 0.749 0.25 1.9
## satisfying        28 0.66 0.54 0.724 0.28 1.9
## nice              22 0.65 0.59 0.764 0.24 2.0
## pleasing          24 0.64 0.62 0.791 0.21 2.0
## lovely            20 0.63 0.49 0.639 0.36 1.9
## motivating        21 0.63 0.53 0.684 0.32 1.9
## delightful        10 0.63 0.54 0.687 0.31 2.0
## engaging          12 0.62 0.48 0.615 0.38 1.9
## provoking         27 0.30 0.09 0.096 0.90 1.2
## organized         23 0.17 0.84 0.733 0.27 1.1
## clean              6 0.25 0.78 0.674 0.33 1.2
## balanced           4 0.30 0.74 0.641 0.36 1.3
## wellDesigned      31 0.46 0.70 0.704 0.30 1.7
## professional      26 0.25 0.66 0.493 0.51 1.3
## harmonious        16 0.52 0.65 0.695 0.31 1.9
## inviting          18 0.54 0.63 0.688 0.31 1.9
## elegant           11 0.46 0.60 0.564 0.44 1.9
## tasteful          30 0.53 0.56 0.591 0.41 2.0
## colorHarmonious    8 0.43 0.47 0.408 0.59 2.0
## sophisticated     29 0.41 0.45 0.371 0.63 2.0
## cluttered          7 0.15 0.41 0.194 0.81 1.3
## 
##                         PA1  PA2
## SS loadings           10.60 8.69
## Proportion Var         0.34 0.28
## Cumulative Var         0.34 0.62
## Proportion Explained   0.55 0.45
## Cumulative Proportion  0.55 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.56
## The degrees of freedom for the model are 404  and the objective function was  3.89 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.94
## Multiple R square of scores with factors          0.91 0.89
## Minimum correlation of possible factor scores     0.81 0.77
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## fascinating       15  0.97 -0.25 0.637 0.36 1.1
## exciting          14  0.88 -0.03 0.737 0.26 1.0
## interesting       17  0.88 -0.09 0.664 0.34 1.0
## artistic           2  0.84 -0.15 0.527 0.47 1.1
## creative           9  0.83 -0.13 0.537 0.46 1.0
## beautiful          5  0.82  0.05 0.747 0.25 1.0
## pretty            25  0.71  0.14 0.674 0.33 1.1
## attractive         3  0.70  0.21 0.756 0.24 1.2
## enjoyable         13  0.67  0.24 0.754 0.25 1.3
## likable           19  0.60  0.32 0.747 0.25 1.5
## appealing          1  0.58  0.34 0.749 0.25 1.6
## satisfying        28  0.57  0.33 0.724 0.28 1.6
## lovely            20  0.57  0.27 0.639 0.36 1.4
## engaging          12  0.56  0.26 0.615 0.38 1.4
## motivating        21  0.54  0.34 0.684 0.32 1.7
## delightful        10  0.53  0.35 0.687 0.31 1.7
## nice              22  0.53  0.40 0.764 0.24 1.9
## pleasing          24  0.50  0.45 0.791 0.21 2.0
## provoking         27  0.36 -0.07 0.096 0.90 1.1
## organized         23 -0.31  1.07 0.733 0.27 1.2
## clean              6 -0.16  0.94 0.674 0.33 1.1
## balanced           4 -0.06  0.84 0.641 0.36 1.0
## professional      26 -0.08  0.76 0.493 0.51 1.0
## wellDesigned      31  0.20  0.68 0.704 0.30 1.2
## harmonious        16  0.30  0.58 0.695 0.31 1.5
## elegant           11  0.25  0.54 0.564 0.44 1.4
## inviting          18  0.34  0.54 0.688 0.31 1.7
## cluttered          7 -0.06  0.48 0.194 0.81 1.0
## tasteful          30  0.38  0.44 0.591 0.41 1.9
## colorHarmonious    8  0.31  0.37 0.408 0.59 1.9
## sophisticated     29  0.29  0.36 0.371 0.63 1.9
## 
##                         PA1  PA2
## SS loadings           11.11 8.18
## Proportion Var         0.36 0.26
## Cumulative Var         0.36 0.62
## Proportion Explained   0.58 0.42
## Cumulative Proportion  0.58 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.76
## PA2 0.76 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.56
## The degrees of freedom for the model are 404  and the objective function was  3.89 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.97 0.96
## Minimum correlation of possible factor scores     0.94 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.89 0.792 0.21   1
## nice            22 0.87 0.766 0.23   1
## appealing        1 0.87 0.750 0.25   1
## likable         19 0.86 0.746 0.25   1
## enjoyable       13 0.86 0.746 0.25   1
## attractive       3 0.86 0.743 0.26   1
## satisfying      28 0.85 0.725 0.28   1
## beautiful        5 0.84 0.698 0.30   1
## delightful      10 0.83 0.689 0.31   1
## motivating      21 0.83 0.685 0.31   1
## inviting        18 0.82 0.675 0.32   1
## harmonious      16 0.82 0.675 0.33   1
## exciting        14 0.81 0.663 0.34   1
## wellDesigned    31 0.81 0.657 0.34   1
## pretty          25 0.81 0.652 0.35   1
## lovely          20 0.80 0.637 0.36   1
## engaging        12 0.78 0.613 0.39   1
## tasteful        30 0.77 0.587 0.41   1
## interesting     17 0.76 0.577 0.42   1
## elegant         11 0.74 0.544 0.46   1
## balanced         4 0.71 0.510 0.49   1
## clean            6 0.70 0.489 0.51   1
## fascinating     15 0.70 0.486 0.51   1
## organized       23 0.67 0.454 0.55   1
## creative         9 0.67 0.450 0.55   1
## artistic         2 0.66 0.432 0.57   1
## colorHarmonious  8 0.64 0.405 0.59   1
## professional    26 0.62 0.382 0.62   1
## sophisticated   29 0.61 0.368 0.63   1
## cluttered        7 0.39 0.150 0.85   1
## provoking       27 0.28 0.079 0.92   1
## 
##                  PA1
## SS loadings    17.83
## Proportion Var  0.58
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.56
## The degrees of freedom for the model are 434  and the objective function was  5.71 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## exciting          14 0.79 0.35 0.737 0.26 1.4
## fascinating       15 0.78 0.18 0.637 0.36 1.1
## beautiful          5 0.77 0.39 0.747 0.25 1.5
## interesting       17 0.76 0.29 0.664 0.34 1.3
## attractive         3 0.72 0.49 0.756 0.24 1.8
## enjoyable         13 0.71 0.50 0.754 0.25 1.8
## pretty            25 0.70 0.43 0.674 0.33 1.7
## creative           9 0.70 0.23 0.537 0.46 1.2
## artistic           2 0.69 0.21 0.527 0.47 1.2
## likable           19 0.68 0.54 0.747 0.25 1.9
## appealing          1 0.67 0.55 0.749 0.25 1.9
## satisfying        28 0.66 0.54 0.724 0.28 1.9
## nice              22 0.65 0.59 0.764 0.24 2.0
## pleasing          24 0.64 0.62 0.791 0.21 2.0
## lovely            20 0.63 0.49 0.639 0.36 1.9
## motivating        21 0.63 0.53 0.684 0.32 1.9
## delightful        10 0.63 0.54 0.687 0.31 2.0
## engaging          12 0.62 0.48 0.615 0.38 1.9
## provoking         27 0.30 0.09 0.096 0.90 1.2
## organized         23 0.17 0.84 0.733 0.27 1.1
## clean              6 0.25 0.78 0.674 0.33 1.2
## balanced           4 0.30 0.74 0.641 0.36 1.3
## wellDesigned      31 0.46 0.70 0.704 0.30 1.7
## professional      26 0.25 0.66 0.493 0.51 1.3
## harmonious        16 0.52 0.65 0.695 0.31 1.9
## inviting          18 0.54 0.63 0.688 0.31 1.9
## elegant           11 0.46 0.60 0.564 0.44 1.9
## tasteful          30 0.53 0.56 0.591 0.41 2.0
## colorHarmonious    8 0.43 0.47 0.408 0.59 2.0
## sophisticated     29 0.41 0.45 0.371 0.63 2.0
## cluttered          7 0.15 0.41 0.194 0.81 1.3
## 
##                         PA1  PA2
## SS loadings           10.60 8.69
## Proportion Var         0.34 0.28
## Cumulative Var         0.34 0.62
## Proportion Explained   0.55 0.45
## Cumulative Proportion  0.55 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.56
## The degrees of freedom for the model are 404  and the objective function was  3.89 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.94
## Multiple R square of scores with factors          0.91 0.89
## Minimum correlation of possible factor scores     0.81 0.77
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## fascinating       15  0.97 -0.25 0.637 0.36 1.1
## exciting          14  0.88 -0.03 0.737 0.26 1.0
## interesting       17  0.88 -0.09 0.664 0.34 1.0
## artistic           2  0.84 -0.15 0.527 0.47 1.1
## creative           9  0.83 -0.13 0.537 0.46 1.0
## beautiful          5  0.82  0.05 0.747 0.25 1.0
## pretty            25  0.71  0.14 0.674 0.33 1.1
## attractive         3  0.70  0.21 0.756 0.24 1.2
## enjoyable         13  0.67  0.24 0.754 0.25 1.3
## likable           19  0.60  0.32 0.747 0.25 1.5
## appealing          1  0.58  0.34 0.749 0.25 1.6
## satisfying        28  0.57  0.33 0.724 0.28 1.6
## lovely            20  0.57  0.27 0.639 0.36 1.4
## engaging          12  0.56  0.26 0.615 0.38 1.4
## motivating        21  0.54  0.34 0.684 0.32 1.7
## delightful        10  0.53  0.35 0.687 0.31 1.7
## nice              22  0.53  0.40 0.764 0.24 1.9
## pleasing          24  0.50  0.45 0.791 0.21 2.0
## provoking         27  0.36 -0.07 0.096 0.90 1.1
## organized         23 -0.31  1.07 0.733 0.27 1.2
## clean              6 -0.16  0.94 0.674 0.33 1.1
## balanced           4 -0.06  0.84 0.641 0.36 1.0
## professional      26 -0.08  0.76 0.493 0.51 1.0
## wellDesigned      31  0.20  0.68 0.704 0.30 1.2
## harmonious        16  0.30  0.58 0.695 0.31 1.5
## elegant           11  0.25  0.54 0.564 0.44 1.4
## inviting          18  0.34  0.54 0.688 0.31 1.7
## cluttered          7 -0.06  0.48 0.194 0.81 1.0
## tasteful          30  0.38  0.44 0.591 0.41 1.9
## colorHarmonious    8  0.31  0.37 0.408 0.59 1.9
## sophisticated     29  0.29  0.36 0.371 0.63 1.9
## 
##                         PA1  PA2
## SS loadings           11.11 8.18
## Proportion Var         0.36 0.26
## Cumulative Var         0.36 0.62
## Proportion Explained   0.58 0.42
## Cumulative Proportion  0.58 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.76
## PA2 0.76 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.56
## The degrees of freedom for the model are 404  and the objective function was  3.89 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.97 0.96
## Minimum correlation of possible factor scores     0.94 0.91
## 
## 
## ## Image  6

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.87 0.763 0.24   1
## attractive       3 0.87 0.755 0.24   1
## likable         19 0.84 0.706 0.29   1
## enjoyable       13 0.84 0.702 0.30   1
## nice            22 0.83 0.687 0.31   1
## appealing        1 0.83 0.687 0.31   1
## delightful      10 0.81 0.658 0.34   1
## pretty          25 0.81 0.657 0.34   1
## satisfying      28 0.80 0.645 0.35   1
## inviting        18 0.80 0.639 0.36   1
## tasteful        30 0.78 0.611 0.39   1
## motivating      21 0.78 0.611 0.39   1
## engaging        12 0.78 0.604 0.40   1
## beautiful        5 0.78 0.601 0.40   1
## lovely          20 0.77 0.590 0.41   1
## exciting        14 0.76 0.574 0.43   1
## harmonious      16 0.74 0.554 0.45   1
## wellDesigned    31 0.73 0.534 0.47   1
## fascinating     15 0.72 0.519 0.48   1
## interesting     17 0.71 0.509 0.49   1
## balanced         4 0.69 0.483 0.52   1
## elegant         11 0.68 0.457 0.54   1
## colorHarmonious  8 0.63 0.395 0.60   1
## artistic         2 0.63 0.395 0.61   1
## sophisticated   29 0.62 0.390 0.61   1
## creative         9 0.62 0.386 0.61   1
## clean            6 0.60 0.363 0.64   1
## organized       23 0.59 0.345 0.65   1
## professional    26 0.53 0.282 0.72   1
## provoking       27 0.33 0.108 0.89   1
## cluttered        7 0.18 0.033 0.97   1
## 
##                  PA1
## SS loadings    16.24
## Proportion Var  0.52
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.12
## The degrees of freedom for the model are 434  and the objective function was  5.91 
## 
## The root mean square of the residuals (RMSR) is  0.07 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## artistic           2 0.79 0.02 0.628 0.37 1.0
## fascinating       15 0.76 0.20 0.625 0.38 1.1
## exciting          14 0.76 0.26 0.648 0.35 1.2
## pretty            25 0.75 0.36 0.690 0.31 1.4
## likable           19 0.74 0.42 0.722 0.28 1.6
## creative           9 0.74 0.08 0.548 0.45 1.0
## beautiful          5 0.72 0.33 0.637 0.36 1.4
## lovely            20 0.72 0.32 0.628 0.37 1.4
## attractive         3 0.72 0.48 0.757 0.24 1.7
## pleasing          24 0.71 0.51 0.762 0.24 1.8
## enjoyable         13 0.70 0.46 0.706 0.29 1.7
## engaging          12 0.67 0.40 0.612 0.39 1.6
## appealing          1 0.67 0.49 0.685 0.31 1.8
## interesting       17 0.66 0.31 0.538 0.46 1.4
## delightful        10 0.66 0.47 0.657 0.34 1.8
## nice              22 0.65 0.51 0.685 0.31 1.9
## satisfying        28 0.61 0.52 0.644 0.36 1.9
## tasteful          30 0.58 0.52 0.612 0.39 2.0
## motivating        21 0.58 0.53 0.612 0.39 2.0
## colorHarmonious    8 0.49 0.40 0.394 0.61 1.9
## provoking         27 0.32 0.12 0.119 0.88 1.3
## organized         23 0.13 0.80 0.656 0.34 1.1
## clean              6 0.16 0.78 0.636 0.36 1.1
## wellDesigned      31 0.36 0.73 0.661 0.34 1.5
## balanced           4 0.34 0.69 0.597 0.40 1.5
## professional      26 0.15 0.67 0.474 0.53 1.1
## elegant           11 0.37 0.62 0.528 0.47 1.6
## harmonious        16 0.46 0.62 0.598 0.40 1.8
## inviting          18 0.56 0.58 0.651 0.35 2.0
## sophisticated     29 0.42 0.48 0.403 0.60 2.0
## cluttered          7 0.06 0.22 0.051 0.95 1.1
## 
##                         PA1  PA2
## SS loadings           10.74 7.43
## Proportion Var         0.35 0.24
## Cumulative Var         0.35 0.59
## Proportion Explained   0.59 0.41
## Cumulative Proportion  0.59 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.12
## The degrees of freedom for the model are 404  and the objective function was  3.73 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.94
## Multiple R square of scores with factors          0.92 0.89
## Minimum correlation of possible factor scores     0.85 0.77
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## artistic           2  1.02 -0.40 0.628 0.37 1.3
## creative           9  0.92 -0.30 0.548 0.45 1.2
## fascinating       15  0.89 -0.16 0.625 0.38 1.1
## exciting          14  0.85 -0.07 0.648 0.35 1.0
## pretty            25  0.79  0.06 0.690 0.31 1.0
## lovely            20  0.77  0.03 0.628 0.37 1.0
## beautiful          5  0.77  0.04 0.637 0.36 1.0
## likable           19  0.74  0.15 0.722 0.28 1.1
## interesting       17  0.70  0.04 0.538 0.46 1.0
## attractive         3  0.69  0.24 0.757 0.24 1.2
## enjoyable         13  0.67  0.22 0.706 0.29 1.2
## engaging          12  0.66  0.16 0.612 0.39 1.1
## pleasing          24  0.65  0.29 0.762 0.24 1.4
## appealing          1  0.61  0.27 0.685 0.31 1.4
## delightful        10  0.61  0.25 0.657 0.34 1.3
## nice              22  0.58  0.31 0.685 0.31 1.5
## satisfying        28  0.52  0.34 0.644 0.36 1.7
## tasteful          30  0.48  0.37 0.612 0.39 1.9
## motivating        21  0.48  0.37 0.612 0.39 1.9
## colorHarmonious    8  0.43  0.25 0.394 0.61 1.6
## provoking         27  0.36 -0.02 0.119 0.88 1.0
## organized         23 -0.26  0.97 0.656 0.34 1.1
## clean              6 -0.21  0.93 0.636 0.36 1.1
## professional      26 -0.16  0.79 0.474 0.53 1.1
## wellDesigned      31  0.08  0.75 0.661 0.34 1.0
## balanced           4  0.08  0.72 0.597 0.40 1.0
## elegant           11  0.15  0.61 0.528 0.47 1.1
## harmonious        16  0.26  0.57 0.598 0.40 1.4
## inviting          18  0.41  0.46 0.651 0.35 2.0
## sophisticated     29  0.29  0.39 0.403 0.60 1.9
## cluttered          7 -0.04  0.25 0.051 0.95 1.1
## 
##                         PA1  PA2
## SS loadings           11.49 6.67
## Proportion Var         0.37 0.22
## Cumulative Var         0.37 0.59
## Proportion Explained   0.63 0.37
## Cumulative Proportion  0.63 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.71
## PA2 0.71 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.12
## The degrees of freedom for the model are 404  and the objective function was  3.73 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.94
## Minimum correlation of possible factor scores     0.94 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.87 0.763 0.24   1
## attractive       3 0.87 0.755 0.24   1
## likable         19 0.84 0.706 0.29   1
## enjoyable       13 0.84 0.702 0.30   1
## nice            22 0.83 0.687 0.31   1
## appealing        1 0.83 0.687 0.31   1
## delightful      10 0.81 0.658 0.34   1
## pretty          25 0.81 0.657 0.34   1
## satisfying      28 0.80 0.645 0.35   1
## inviting        18 0.80 0.639 0.36   1
## tasteful        30 0.78 0.611 0.39   1
## motivating      21 0.78 0.611 0.39   1
## engaging        12 0.78 0.604 0.40   1
## beautiful        5 0.78 0.601 0.40   1
## lovely          20 0.77 0.590 0.41   1
## exciting        14 0.76 0.574 0.43   1
## harmonious      16 0.74 0.554 0.45   1
## wellDesigned    31 0.73 0.534 0.47   1
## fascinating     15 0.72 0.519 0.48   1
## interesting     17 0.71 0.509 0.49   1
## balanced         4 0.69 0.483 0.52   1
## elegant         11 0.68 0.457 0.54   1
## colorHarmonious  8 0.63 0.395 0.60   1
## artistic         2 0.63 0.395 0.61   1
## sophisticated   29 0.62 0.390 0.61   1
## creative         9 0.62 0.386 0.61   1
## clean            6 0.60 0.363 0.64   1
## organized       23 0.59 0.345 0.65   1
## professional    26 0.53 0.282 0.72   1
## provoking       27 0.33 0.108 0.89   1
## cluttered        7 0.18 0.033 0.97   1
## 
##                  PA1
## SS loadings    16.24
## Proportion Var  0.52
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.12
## The degrees of freedom for the model are 434  and the objective function was  5.91 
## 
## The root mean square of the residuals (RMSR) is  0.07 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## artistic           2 0.79 0.02 0.628 0.37 1.0
## fascinating       15 0.76 0.20 0.625 0.38 1.1
## exciting          14 0.76 0.26 0.648 0.35 1.2
## pretty            25 0.75 0.36 0.690 0.31 1.4
## likable           19 0.74 0.42 0.722 0.28 1.6
## creative           9 0.74 0.08 0.548 0.45 1.0
## beautiful          5 0.72 0.33 0.637 0.36 1.4
## lovely            20 0.72 0.32 0.628 0.37 1.4
## attractive         3 0.72 0.48 0.757 0.24 1.7
## pleasing          24 0.71 0.51 0.762 0.24 1.8
## enjoyable         13 0.70 0.46 0.706 0.29 1.7
## engaging          12 0.67 0.40 0.612 0.39 1.6
## appealing          1 0.67 0.49 0.685 0.31 1.8
## interesting       17 0.66 0.31 0.538 0.46 1.4
## delightful        10 0.66 0.47 0.657 0.34 1.8
## nice              22 0.65 0.51 0.685 0.31 1.9
## satisfying        28 0.61 0.52 0.644 0.36 1.9
## tasteful          30 0.58 0.52 0.612 0.39 2.0
## motivating        21 0.58 0.53 0.612 0.39 2.0
## colorHarmonious    8 0.49 0.40 0.394 0.61 1.9
## provoking         27 0.32 0.12 0.119 0.88 1.3
## organized         23 0.13 0.80 0.656 0.34 1.1
## clean              6 0.16 0.78 0.636 0.36 1.1
## wellDesigned      31 0.36 0.73 0.661 0.34 1.5
## balanced           4 0.34 0.69 0.597 0.40 1.5
## professional      26 0.15 0.67 0.474 0.53 1.1
## elegant           11 0.37 0.62 0.528 0.47 1.6
## harmonious        16 0.46 0.62 0.598 0.40 1.8
## inviting          18 0.56 0.58 0.651 0.35 2.0
## sophisticated     29 0.42 0.48 0.403 0.60 2.0
## cluttered          7 0.06 0.22 0.051 0.95 1.1
## 
##                         PA1  PA2
## SS loadings           10.74 7.43
## Proportion Var         0.35 0.24
## Cumulative Var         0.35 0.59
## Proportion Explained   0.59 0.41
## Cumulative Proportion  0.59 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.12
## The degrees of freedom for the model are 404  and the objective function was  3.73 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.94
## Multiple R square of scores with factors          0.92 0.89
## Minimum correlation of possible factor scores     0.85 0.77
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## artistic           2  1.02 -0.40 0.628 0.37 1.3
## creative           9  0.92 -0.30 0.548 0.45 1.2
## fascinating       15  0.89 -0.16 0.625 0.38 1.1
## exciting          14  0.85 -0.07 0.648 0.35 1.0
## pretty            25  0.79  0.06 0.690 0.31 1.0
## lovely            20  0.77  0.03 0.628 0.37 1.0
## beautiful          5  0.77  0.04 0.637 0.36 1.0
## likable           19  0.74  0.15 0.722 0.28 1.1
## interesting       17  0.70  0.04 0.538 0.46 1.0
## attractive         3  0.69  0.24 0.757 0.24 1.2
## enjoyable         13  0.67  0.22 0.706 0.29 1.2
## engaging          12  0.66  0.16 0.612 0.39 1.1
## pleasing          24  0.65  0.29 0.762 0.24 1.4
## appealing          1  0.61  0.27 0.685 0.31 1.4
## delightful        10  0.61  0.25 0.657 0.34 1.3
## nice              22  0.58  0.31 0.685 0.31 1.5
## satisfying        28  0.52  0.34 0.644 0.36 1.7
## tasteful          30  0.48  0.37 0.612 0.39 1.9
## motivating        21  0.48  0.37 0.612 0.39 1.9
## colorHarmonious    8  0.43  0.25 0.394 0.61 1.6
## provoking         27  0.36 -0.02 0.119 0.88 1.0
## organized         23 -0.26  0.97 0.656 0.34 1.1
## clean              6 -0.21  0.93 0.636 0.36 1.1
## professional      26 -0.16  0.79 0.474 0.53 1.1
## wellDesigned      31  0.08  0.75 0.661 0.34 1.0
## balanced           4  0.08  0.72 0.597 0.40 1.0
## elegant           11  0.15  0.61 0.528 0.47 1.1
## harmonious        16  0.26  0.57 0.598 0.40 1.4
## inviting          18  0.41  0.46 0.651 0.35 2.0
## sophisticated     29  0.29  0.39 0.403 0.60 1.9
## cluttered          7 -0.04  0.25 0.051 0.95 1.1
## 
##                         PA1  PA2
## SS loadings           11.49 6.67
## Proportion Var         0.37 0.22
## Cumulative Var         0.37 0.59
## Proportion Explained   0.63 0.37
## Cumulative Proportion  0.63 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.71
## PA2 0.71 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.12
## The degrees of freedom for the model are 404  and the objective function was  3.73 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.94
## Minimum correlation of possible factor scores     0.94 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.87 0.763 0.24   1
## attractive       3 0.87 0.755 0.24   1
## likable         19 0.84 0.706 0.29   1
## enjoyable       13 0.84 0.702 0.30   1
## nice            22 0.83 0.687 0.31   1
## appealing        1 0.83 0.687 0.31   1
## delightful      10 0.81 0.658 0.34   1
## pretty          25 0.81 0.657 0.34   1
## satisfying      28 0.80 0.645 0.35   1
## inviting        18 0.80 0.639 0.36   1
## tasteful        30 0.78 0.611 0.39   1
## motivating      21 0.78 0.611 0.39   1
## engaging        12 0.78 0.604 0.40   1
## beautiful        5 0.78 0.601 0.40   1
## lovely          20 0.77 0.590 0.41   1
## exciting        14 0.76 0.574 0.43   1
## harmonious      16 0.74 0.554 0.45   1
## wellDesigned    31 0.73 0.534 0.47   1
## fascinating     15 0.72 0.519 0.48   1
## interesting     17 0.71 0.509 0.49   1
## balanced         4 0.69 0.483 0.52   1
## elegant         11 0.68 0.457 0.54   1
## colorHarmonious  8 0.63 0.395 0.60   1
## artistic         2 0.63 0.395 0.61   1
## sophisticated   29 0.62 0.390 0.61   1
## creative         9 0.62 0.386 0.61   1
## clean            6 0.60 0.363 0.64   1
## organized       23 0.59 0.345 0.65   1
## professional    26 0.53 0.282 0.72   1
## provoking       27 0.33 0.108 0.89   1
## cluttered        7 0.18 0.033 0.97   1
## 
##                  PA1
## SS loadings    16.24
## Proportion Var  0.52
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.12
## The degrees of freedom for the model are 434  and the objective function was  5.91 
## 
## The root mean square of the residuals (RMSR) is  0.07 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## artistic           2 0.79 0.02 0.628 0.37 1.0
## fascinating       15 0.76 0.20 0.625 0.38 1.1
## exciting          14 0.76 0.26 0.648 0.35 1.2
## pretty            25 0.75 0.36 0.690 0.31 1.4
## likable           19 0.74 0.42 0.722 0.28 1.6
## creative           9 0.74 0.08 0.548 0.45 1.0
## beautiful          5 0.72 0.33 0.637 0.36 1.4
## lovely            20 0.72 0.32 0.628 0.37 1.4
## attractive         3 0.72 0.48 0.757 0.24 1.7
## pleasing          24 0.71 0.51 0.762 0.24 1.8
## enjoyable         13 0.70 0.46 0.706 0.29 1.7
## engaging          12 0.67 0.40 0.612 0.39 1.6
## appealing          1 0.67 0.49 0.685 0.31 1.8
## interesting       17 0.66 0.31 0.538 0.46 1.4
## delightful        10 0.66 0.47 0.657 0.34 1.8
## nice              22 0.65 0.51 0.685 0.31 1.9
## satisfying        28 0.61 0.52 0.644 0.36 1.9
## tasteful          30 0.58 0.52 0.612 0.39 2.0
## motivating        21 0.58 0.53 0.612 0.39 2.0
## colorHarmonious    8 0.49 0.40 0.394 0.61 1.9
## provoking         27 0.32 0.12 0.119 0.88 1.3
## organized         23 0.13 0.80 0.656 0.34 1.1
## clean              6 0.16 0.78 0.636 0.36 1.1
## wellDesigned      31 0.36 0.73 0.661 0.34 1.5
## balanced           4 0.34 0.69 0.597 0.40 1.5
## professional      26 0.15 0.67 0.474 0.53 1.1
## elegant           11 0.37 0.62 0.528 0.47 1.6
## harmonious        16 0.46 0.62 0.598 0.40 1.8
## inviting          18 0.56 0.58 0.651 0.35 2.0
## sophisticated     29 0.42 0.48 0.403 0.60 2.0
## cluttered          7 0.06 0.22 0.051 0.95 1.1
## 
##                         PA1  PA2
## SS loadings           10.74 7.43
## Proportion Var         0.35 0.24
## Cumulative Var         0.35 0.59
## Proportion Explained   0.59 0.41
## Cumulative Proportion  0.59 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.12
## The degrees of freedom for the model are 404  and the objective function was  3.73 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.94
## Multiple R square of scores with factors          0.92 0.89
## Minimum correlation of possible factor scores     0.85 0.77
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## artistic           2  1.02 -0.40 0.628 0.37 1.3
## creative           9  0.92 -0.30 0.548 0.45 1.2
## fascinating       15  0.89 -0.16 0.625 0.38 1.1
## exciting          14  0.85 -0.07 0.648 0.35 1.0
## pretty            25  0.79  0.06 0.690 0.31 1.0
## lovely            20  0.77  0.03 0.628 0.37 1.0
## beautiful          5  0.77  0.04 0.637 0.36 1.0
## likable           19  0.74  0.15 0.722 0.28 1.1
## interesting       17  0.70  0.04 0.538 0.46 1.0
## attractive         3  0.69  0.24 0.757 0.24 1.2
## enjoyable         13  0.67  0.22 0.706 0.29 1.2
## engaging          12  0.66  0.16 0.612 0.39 1.1
## pleasing          24  0.65  0.29 0.762 0.24 1.4
## appealing          1  0.61  0.27 0.685 0.31 1.4
## delightful        10  0.61  0.25 0.657 0.34 1.3
## nice              22  0.58  0.31 0.685 0.31 1.5
## satisfying        28  0.52  0.34 0.644 0.36 1.7
## tasteful          30  0.48  0.37 0.612 0.39 1.9
## motivating        21  0.48  0.37 0.612 0.39 1.9
## colorHarmonious    8  0.43  0.25 0.394 0.61 1.6
## provoking         27  0.36 -0.02 0.119 0.88 1.0
## organized         23 -0.26  0.97 0.656 0.34 1.1
## clean              6 -0.21  0.93 0.636 0.36 1.1
## professional      26 -0.16  0.79 0.474 0.53 1.1
## wellDesigned      31  0.08  0.75 0.661 0.34 1.0
## balanced           4  0.08  0.72 0.597 0.40 1.0
## elegant           11  0.15  0.61 0.528 0.47 1.1
## harmonious        16  0.26  0.57 0.598 0.40 1.4
## inviting          18  0.41  0.46 0.651 0.35 2.0
## sophisticated     29  0.29  0.39 0.403 0.60 1.9
## cluttered          7 -0.04  0.25 0.051 0.95 1.1
## 
##                         PA1  PA2
## SS loadings           11.49 6.67
## Proportion Var         0.37 0.22
## Cumulative Var         0.37 0.59
## Proportion Explained   0.63 0.37
## Cumulative Proportion  0.63 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.71
## PA2 0.71 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.12
## The degrees of freedom for the model are 404  and the objective function was  3.73 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.94
## Minimum correlation of possible factor scores     0.94 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.87 0.763 0.24   1
## attractive       3 0.87 0.755 0.24   1
## likable         19 0.84 0.706 0.29   1
## enjoyable       13 0.84 0.702 0.30   1
## nice            22 0.83 0.687 0.31   1
## appealing        1 0.83 0.687 0.31   1
## delightful      10 0.81 0.658 0.34   1
## pretty          25 0.81 0.657 0.34   1
## satisfying      28 0.80 0.645 0.35   1
## inviting        18 0.80 0.639 0.36   1
## tasteful        30 0.78 0.611 0.39   1
## motivating      21 0.78 0.611 0.39   1
## engaging        12 0.78 0.604 0.40   1
## beautiful        5 0.78 0.601 0.40   1
## lovely          20 0.77 0.590 0.41   1
## exciting        14 0.76 0.574 0.43   1
## harmonious      16 0.74 0.554 0.45   1
## wellDesigned    31 0.73 0.534 0.47   1
## fascinating     15 0.72 0.519 0.48   1
## interesting     17 0.71 0.509 0.49   1
## balanced         4 0.69 0.483 0.52   1
## elegant         11 0.68 0.457 0.54   1
## colorHarmonious  8 0.63 0.395 0.60   1
## artistic         2 0.63 0.395 0.61   1
## sophisticated   29 0.62 0.390 0.61   1
## creative         9 0.62 0.386 0.61   1
## clean            6 0.60 0.363 0.64   1
## organized       23 0.59 0.345 0.65   1
## professional    26 0.53 0.282 0.72   1
## provoking       27 0.33 0.108 0.89   1
## cluttered        7 0.18 0.033 0.97   1
## 
##                  PA1
## SS loadings    16.24
## Proportion Var  0.52
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.12
## The degrees of freedom for the model are 434  and the objective function was  5.91 
## 
## The root mean square of the residuals (RMSR) is  0.07 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## artistic           2 0.79 0.02 0.628 0.37 1.0
## fascinating       15 0.76 0.20 0.625 0.38 1.1
## exciting          14 0.76 0.26 0.648 0.35 1.2
## pretty            25 0.75 0.36 0.690 0.31 1.4
## likable           19 0.74 0.42 0.722 0.28 1.6
## creative           9 0.74 0.08 0.548 0.45 1.0
## beautiful          5 0.72 0.33 0.637 0.36 1.4
## lovely            20 0.72 0.32 0.628 0.37 1.4
## attractive         3 0.72 0.48 0.757 0.24 1.7
## pleasing          24 0.71 0.51 0.762 0.24 1.8
## enjoyable         13 0.70 0.46 0.706 0.29 1.7
## engaging          12 0.67 0.40 0.612 0.39 1.6
## appealing          1 0.67 0.49 0.685 0.31 1.8
## interesting       17 0.66 0.31 0.538 0.46 1.4
## delightful        10 0.66 0.47 0.657 0.34 1.8
## nice              22 0.65 0.51 0.685 0.31 1.9
## satisfying        28 0.61 0.52 0.644 0.36 1.9
## tasteful          30 0.58 0.52 0.612 0.39 2.0
## motivating        21 0.58 0.53 0.612 0.39 2.0
## colorHarmonious    8 0.49 0.40 0.394 0.61 1.9
## provoking         27 0.32 0.12 0.119 0.88 1.3
## organized         23 0.13 0.80 0.656 0.34 1.1
## clean              6 0.16 0.78 0.636 0.36 1.1
## wellDesigned      31 0.36 0.73 0.661 0.34 1.5
## balanced           4 0.34 0.69 0.597 0.40 1.5
## professional      26 0.15 0.67 0.474 0.53 1.1
## elegant           11 0.37 0.62 0.528 0.47 1.6
## harmonious        16 0.46 0.62 0.598 0.40 1.8
## inviting          18 0.56 0.58 0.651 0.35 2.0
## sophisticated     29 0.42 0.48 0.403 0.60 2.0
## cluttered          7 0.06 0.22 0.051 0.95 1.1
## 
##                         PA1  PA2
## SS loadings           10.74 7.43
## Proportion Var         0.35 0.24
## Cumulative Var         0.35 0.59
## Proportion Explained   0.59 0.41
## Cumulative Proportion  0.59 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.12
## The degrees of freedom for the model are 404  and the objective function was  3.73 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.94
## Multiple R square of scores with factors          0.92 0.89
## Minimum correlation of possible factor scores     0.85 0.77
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## artistic           2  1.02 -0.40 0.628 0.37 1.3
## creative           9  0.92 -0.30 0.548 0.45 1.2
## fascinating       15  0.89 -0.16 0.625 0.38 1.1
## exciting          14  0.85 -0.07 0.648 0.35 1.0
## pretty            25  0.79  0.06 0.690 0.31 1.0
## lovely            20  0.77  0.03 0.628 0.37 1.0
## beautiful          5  0.77  0.04 0.637 0.36 1.0
## likable           19  0.74  0.15 0.722 0.28 1.1
## interesting       17  0.70  0.04 0.538 0.46 1.0
## attractive         3  0.69  0.24 0.757 0.24 1.2
## enjoyable         13  0.67  0.22 0.706 0.29 1.2
## engaging          12  0.66  0.16 0.612 0.39 1.1
## pleasing          24  0.65  0.29 0.762 0.24 1.4
## appealing          1  0.61  0.27 0.685 0.31 1.4
## delightful        10  0.61  0.25 0.657 0.34 1.3
## nice              22  0.58  0.31 0.685 0.31 1.5
## satisfying        28  0.52  0.34 0.644 0.36 1.7
## tasteful          30  0.48  0.37 0.612 0.39 1.9
## motivating        21  0.48  0.37 0.612 0.39 1.9
## colorHarmonious    8  0.43  0.25 0.394 0.61 1.6
## provoking         27  0.36 -0.02 0.119 0.88 1.0
## organized         23 -0.26  0.97 0.656 0.34 1.1
## clean              6 -0.21  0.93 0.636 0.36 1.1
## professional      26 -0.16  0.79 0.474 0.53 1.1
## wellDesigned      31  0.08  0.75 0.661 0.34 1.0
## balanced           4  0.08  0.72 0.597 0.40 1.0
## elegant           11  0.15  0.61 0.528 0.47 1.1
## harmonious        16  0.26  0.57 0.598 0.40 1.4
## inviting          18  0.41  0.46 0.651 0.35 2.0
## sophisticated     29  0.29  0.39 0.403 0.60 1.9
## cluttered          7 -0.04  0.25 0.051 0.95 1.1
## 
##                         PA1  PA2
## SS loadings           11.49 6.67
## Proportion Var         0.37 0.22
## Cumulative Var         0.37 0.59
## Proportion Explained   0.63 0.37
## Cumulative Proportion  0.63 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.71
## PA2 0.71 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.12
## The degrees of freedom for the model are 404  and the objective function was  3.73 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.94
## Minimum correlation of possible factor scores     0.94 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.87 0.763 0.24   1
## attractive       3 0.87 0.755 0.24   1
## likable         19 0.84 0.706 0.29   1
## enjoyable       13 0.84 0.702 0.30   1
## nice            22 0.83 0.687 0.31   1
## appealing        1 0.83 0.687 0.31   1
## delightful      10 0.81 0.658 0.34   1
## pretty          25 0.81 0.657 0.34   1
## satisfying      28 0.80 0.645 0.35   1
## inviting        18 0.80 0.639 0.36   1
## tasteful        30 0.78 0.611 0.39   1
## motivating      21 0.78 0.611 0.39   1
## engaging        12 0.78 0.604 0.40   1
## beautiful        5 0.78 0.601 0.40   1
## lovely          20 0.77 0.590 0.41   1
## exciting        14 0.76 0.574 0.43   1
## harmonious      16 0.74 0.554 0.45   1
## wellDesigned    31 0.73 0.534 0.47   1
## fascinating     15 0.72 0.519 0.48   1
## interesting     17 0.71 0.509 0.49   1
## balanced         4 0.69 0.483 0.52   1
## elegant         11 0.68 0.457 0.54   1
## colorHarmonious  8 0.63 0.395 0.60   1
## artistic         2 0.63 0.395 0.61   1
## sophisticated   29 0.62 0.390 0.61   1
## creative         9 0.62 0.386 0.61   1
## clean            6 0.60 0.363 0.64   1
## organized       23 0.59 0.345 0.65   1
## professional    26 0.53 0.282 0.72   1
## provoking       27 0.33 0.108 0.89   1
## cluttered        7 0.18 0.033 0.97   1
## 
##                  PA1
## SS loadings    16.24
## Proportion Var  0.52
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.12
## The degrees of freedom for the model are 434  and the objective function was  5.91 
## 
## The root mean square of the residuals (RMSR) is  0.07 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## artistic           2 0.79 0.02 0.628 0.37 1.0
## fascinating       15 0.76 0.20 0.625 0.38 1.1
## exciting          14 0.76 0.26 0.648 0.35 1.2
## pretty            25 0.75 0.36 0.690 0.31 1.4
## likable           19 0.74 0.42 0.722 0.28 1.6
## creative           9 0.74 0.08 0.548 0.45 1.0
## beautiful          5 0.72 0.33 0.637 0.36 1.4
## lovely            20 0.72 0.32 0.628 0.37 1.4
## attractive         3 0.72 0.48 0.757 0.24 1.7
## pleasing          24 0.71 0.51 0.762 0.24 1.8
## enjoyable         13 0.70 0.46 0.706 0.29 1.7
## engaging          12 0.67 0.40 0.612 0.39 1.6
## appealing          1 0.67 0.49 0.685 0.31 1.8
## interesting       17 0.66 0.31 0.538 0.46 1.4
## delightful        10 0.66 0.47 0.657 0.34 1.8
## nice              22 0.65 0.51 0.685 0.31 1.9
## satisfying        28 0.61 0.52 0.644 0.36 1.9
## tasteful          30 0.58 0.52 0.612 0.39 2.0
## motivating        21 0.58 0.53 0.612 0.39 2.0
## colorHarmonious    8 0.49 0.40 0.394 0.61 1.9
## provoking         27 0.32 0.12 0.119 0.88 1.3
## organized         23 0.13 0.80 0.656 0.34 1.1
## clean              6 0.16 0.78 0.636 0.36 1.1
## wellDesigned      31 0.36 0.73 0.661 0.34 1.5
## balanced           4 0.34 0.69 0.597 0.40 1.5
## professional      26 0.15 0.67 0.474 0.53 1.1
## elegant           11 0.37 0.62 0.528 0.47 1.6
## harmonious        16 0.46 0.62 0.598 0.40 1.8
## inviting          18 0.56 0.58 0.651 0.35 2.0
## sophisticated     29 0.42 0.48 0.403 0.60 2.0
## cluttered          7 0.06 0.22 0.051 0.95 1.1
## 
##                         PA1  PA2
## SS loadings           10.74 7.43
## Proportion Var         0.35 0.24
## Cumulative Var         0.35 0.59
## Proportion Explained   0.59 0.41
## Cumulative Proportion  0.59 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.12
## The degrees of freedom for the model are 404  and the objective function was  3.73 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.94
## Multiple R square of scores with factors          0.92 0.89
## Minimum correlation of possible factor scores     0.85 0.77
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## artistic           2  1.02 -0.40 0.628 0.37 1.3
## creative           9  0.92 -0.30 0.548 0.45 1.2
## fascinating       15  0.89 -0.16 0.625 0.38 1.1
## exciting          14  0.85 -0.07 0.648 0.35 1.0
## pretty            25  0.79  0.06 0.690 0.31 1.0
## lovely            20  0.77  0.03 0.628 0.37 1.0
## beautiful          5  0.77  0.04 0.637 0.36 1.0
## likable           19  0.74  0.15 0.722 0.28 1.1
## interesting       17  0.70  0.04 0.538 0.46 1.0
## attractive         3  0.69  0.24 0.757 0.24 1.2
## enjoyable         13  0.67  0.22 0.706 0.29 1.2
## engaging          12  0.66  0.16 0.612 0.39 1.1
## pleasing          24  0.65  0.29 0.762 0.24 1.4
## appealing          1  0.61  0.27 0.685 0.31 1.4
## delightful        10  0.61  0.25 0.657 0.34 1.3
## nice              22  0.58  0.31 0.685 0.31 1.5
## satisfying        28  0.52  0.34 0.644 0.36 1.7
## tasteful          30  0.48  0.37 0.612 0.39 1.9
## motivating        21  0.48  0.37 0.612 0.39 1.9
## colorHarmonious    8  0.43  0.25 0.394 0.61 1.6
## provoking         27  0.36 -0.02 0.119 0.88 1.0
## organized         23 -0.26  0.97 0.656 0.34 1.1
## clean              6 -0.21  0.93 0.636 0.36 1.1
## professional      26 -0.16  0.79 0.474 0.53 1.1
## wellDesigned      31  0.08  0.75 0.661 0.34 1.0
## balanced           4  0.08  0.72 0.597 0.40 1.0
## elegant           11  0.15  0.61 0.528 0.47 1.1
## harmonious        16  0.26  0.57 0.598 0.40 1.4
## inviting          18  0.41  0.46 0.651 0.35 2.0
## sophisticated     29  0.29  0.39 0.403 0.60 1.9
## cluttered          7 -0.04  0.25 0.051 0.95 1.1
## 
##                         PA1  PA2
## SS loadings           11.49 6.67
## Proportion Var         0.37 0.22
## Cumulative Var         0.37 0.59
## Proportion Explained   0.63 0.37
## Cumulative Proportion  0.63 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.71
## PA2 0.71 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.12
## The degrees of freedom for the model are 404  and the objective function was  3.73 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.94
## Minimum correlation of possible factor scores     0.94 0.88
## 
## 
## ## Image  7

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## satisfying      28 0.90 0.813 0.19   1
## likable         19 0.90 0.807 0.19   1
## pleasing        24 0.90 0.803 0.20   1
## attractive       3 0.89 0.795 0.20   1
## delightful      10 0.89 0.787 0.21   1
## enjoyable       13 0.88 0.781 0.22   1
## pretty          25 0.88 0.773 0.23   1
## appealing        1 0.88 0.767 0.23   1
## beautiful        5 0.87 0.761 0.24   1
## nice            22 0.87 0.760 0.24   1
## motivating      21 0.84 0.706 0.29   1
## inviting        18 0.84 0.703 0.30   1
## lovely          20 0.83 0.693 0.31   1
## elegant         11 0.83 0.691 0.31   1
## engaging        12 0.82 0.674 0.33   1
## exciting        14 0.81 0.657 0.34   1
## fascinating     15 0.80 0.647 0.35   1
## tasteful        30 0.80 0.642 0.36   1
## harmonious      16 0.74 0.550 0.45   1
## sophisticated   29 0.73 0.529 0.47   1
## interesting     17 0.73 0.527 0.47   1
## artistic         2 0.69 0.471 0.53   1
## wellDesigned    31 0.69 0.471 0.53   1
## clean            6 0.66 0.432 0.57   1
## creative         9 0.66 0.430 0.57   1
## professional    26 0.60 0.355 0.64   1
## balanced         4 0.59 0.344 0.66   1
## organized       23 0.55 0.304 0.70   1
## colorHarmonious  8 0.48 0.227 0.77   1
## cluttered        7 0.27 0.072 0.93   1
## provoking       27 0.19 0.037 0.96   1
## 
##                  PA1
## SS loadings    18.01
## Proportion Var  0.58
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  33.25
## The degrees of freedom for the model are 434  and the objective function was  6.4 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.97
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2   h2   u2 com
## clean              6  0.78 0.16 0.63 0.37 1.1
## elegant           11  0.72 0.46 0.72 0.28 1.7
## organized         23  0.72 0.06 0.52 0.48 1.0
## satisfying        28  0.69 0.59 0.82 0.18 2.0
## pleasing          24  0.67 0.60 0.80 0.20 2.0
## professional      26  0.64 0.20 0.45 0.55 1.2
## motivating        21  0.63 0.55 0.71 0.29 2.0
## delightful        10  0.63 0.63 0.79 0.21 2.0
## wellDesigned      31  0.63 0.34 0.51 0.49 1.5
## harmonious        16  0.62 0.43 0.57 0.43 1.8
## nice              22  0.62 0.61 0.76 0.24 2.0
## tasteful          30  0.60 0.53 0.64 0.36 2.0
## lovely            20  0.60 0.58 0.69 0.31 2.0
## inviting          18  0.60 0.59 0.70 0.30 2.0
## balanced           4  0.59 0.23 0.41 0.59 1.3
## sophisticated     29  0.58 0.45 0.54 0.46 1.9
## colorHarmonious    8  0.38 0.30 0.23 0.77 1.9
## cluttered          7  0.34 0.04 0.12 0.88 1.0
## fascinating       15  0.36 0.79 0.76 0.24 1.4
## interesting       17  0.29 0.75 0.64 0.36 1.3
## creative           9  0.20 0.74 0.59 0.41 1.1
## artistic           2  0.25 0.74 0.60 0.40 1.2
## exciting          14  0.47 0.68 0.68 0.32 1.8
## beautiful          5  0.57 0.67 0.77 0.23 1.9
## engaging          12  0.50 0.66 0.69 0.31 1.9
## pretty            25  0.59 0.65 0.77 0.23 2.0
## enjoyable         13  0.60 0.65 0.78 0.22 2.0
## likable           19  0.62 0.65 0.81 0.19 2.0
## attractive         3  0.62 0.64 0.79 0.21 2.0
## appealing          1  0.62 0.62 0.77 0.23 2.0
## provoking         27 -0.11 0.39 0.16 0.84 1.2
## 
##                        PA1  PA2
## SS loadings           9.90 9.50
## Proportion Var        0.32 0.31
## Cumulative Var        0.32 0.63
## Proportion Explained  0.51 0.49
## Cumulative Proportion 0.51 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  33.25
## The degrees of freedom for the model are 404  and the objective function was  5.07 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.94 0.94
## Multiple R square of scores with factors          0.88 0.88
## Minimum correlation of possible factor scores     0.75 0.76
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## clean              6  0.92 -0.21 0.63 0.37 1.1
## organized         23  0.89 -0.29 0.52 0.48 1.2
## professional      26  0.73 -0.08 0.45 0.55 1.0
## elegant           11  0.69  0.21 0.72 0.28 1.2
## balanced           4  0.65 -0.01 0.41 0.59 1.0
## wellDesigned      31  0.63  0.11 0.51 0.49 1.1
## satisfying        28  0.58  0.40 0.82 0.18 1.8
## harmonious        16  0.58  0.22 0.57 0.43 1.3
## pleasing          24  0.55  0.42 0.80 0.20 1.9
## motivating        21  0.52  0.39 0.71 0.29 1.8
## sophisticated     29  0.51  0.27 0.54 0.46 1.5
## tasteful          30  0.50  0.37 0.64 0.36 1.8
## nice              22  0.47  0.47 0.76 0.24 2.0
## lovely            20  0.46  0.44 0.69 0.31 2.0
## inviting          18  0.46  0.45 0.70 0.30 2.0
## cluttered          7  0.42 -0.13 0.12 0.88 1.2
## colorHarmonious    8  0.33  0.18 0.23 0.77 1.6
## creative           9 -0.14  0.86 0.59 0.41 1.1
## fascinating       15  0.04  0.84 0.76 0.24 1.0
## artistic           2 -0.07  0.83 0.60 0.40 1.0
## interesting       17 -0.02  0.82 0.64 0.36 1.0
## exciting          14  0.25  0.63 0.68 0.32 1.3
## engaging          12  0.29  0.60 0.69 0.31 1.4
## beautiful          5  0.38  0.57 0.77 0.23 1.7
## provoking         27 -0.35  0.56 0.16 0.84 1.7
## pretty            25  0.42  0.54 0.77 0.23 1.9
## enjoyable         13  0.43  0.53 0.78 0.22 1.9
## likable           19  0.46  0.51 0.81 0.19 2.0
## attractive         3  0.46  0.51 0.79 0.21 2.0
## delightful        10  0.48  0.48 0.79 0.21 2.0
## appealing          1  0.47  0.48 0.77 0.23 2.0
## 
##                        PA1  PA2
## SS loadings           9.93 9.48
## Proportion Var        0.32 0.31
## Cumulative Var        0.32 0.63
## Proportion Explained  0.51 0.49
## Cumulative Proportion 0.51 1.00
## 
##  With factor correlations of 
##     PA1 PA2
## PA1 1.0 0.7
## PA2 0.7 1.0
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  33.25
## The degrees of freedom for the model are 404  and the objective function was  5.07 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.95 0.95
## Minimum correlation of possible factor scores     0.90 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## satisfying      28 0.90 0.813 0.19   1
## likable         19 0.90 0.807 0.19   1
## pleasing        24 0.90 0.803 0.20   1
## attractive       3 0.89 0.795 0.20   1
## delightful      10 0.89 0.787 0.21   1
## enjoyable       13 0.88 0.781 0.22   1
## pretty          25 0.88 0.773 0.23   1
## appealing        1 0.88 0.767 0.23   1
## beautiful        5 0.87 0.761 0.24   1
## nice            22 0.87 0.760 0.24   1
## motivating      21 0.84 0.706 0.29   1
## inviting        18 0.84 0.703 0.30   1
## lovely          20 0.83 0.693 0.31   1
## elegant         11 0.83 0.691 0.31   1
## engaging        12 0.82 0.674 0.33   1
## exciting        14 0.81 0.657 0.34   1
## fascinating     15 0.80 0.647 0.35   1
## tasteful        30 0.80 0.642 0.36   1
## harmonious      16 0.74 0.550 0.45   1
## sophisticated   29 0.73 0.529 0.47   1
## interesting     17 0.73 0.527 0.47   1
## artistic         2 0.69 0.471 0.53   1
## wellDesigned    31 0.69 0.471 0.53   1
## clean            6 0.66 0.432 0.57   1
## creative         9 0.66 0.430 0.57   1
## professional    26 0.60 0.355 0.64   1
## balanced         4 0.59 0.344 0.66   1
## organized       23 0.55 0.304 0.70   1
## colorHarmonious  8 0.48 0.227 0.77   1
## cluttered        7 0.27 0.072 0.93   1
## provoking       27 0.19 0.037 0.96   1
## 
##                  PA1
## SS loadings    18.01
## Proportion Var  0.58
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  33.25
## The degrees of freedom for the model are 434  and the objective function was  6.4 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.97
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2   h2   u2 com
## clean              6  0.78 0.16 0.63 0.37 1.1
## elegant           11  0.72 0.46 0.72 0.28 1.7
## organized         23  0.72 0.06 0.52 0.48 1.0
## satisfying        28  0.69 0.59 0.82 0.18 2.0
## pleasing          24  0.67 0.60 0.80 0.20 2.0
## professional      26  0.64 0.20 0.45 0.55 1.2
## motivating        21  0.63 0.55 0.71 0.29 2.0
## delightful        10  0.63 0.63 0.79 0.21 2.0
## wellDesigned      31  0.63 0.34 0.51 0.49 1.5
## harmonious        16  0.62 0.43 0.57 0.43 1.8
## nice              22  0.62 0.61 0.76 0.24 2.0
## tasteful          30  0.60 0.53 0.64 0.36 2.0
## lovely            20  0.60 0.58 0.69 0.31 2.0
## inviting          18  0.60 0.59 0.70 0.30 2.0
## balanced           4  0.59 0.23 0.41 0.59 1.3
## sophisticated     29  0.58 0.45 0.54 0.46 1.9
## colorHarmonious    8  0.38 0.30 0.23 0.77 1.9
## cluttered          7  0.34 0.04 0.12 0.88 1.0
## fascinating       15  0.36 0.79 0.76 0.24 1.4
## interesting       17  0.29 0.75 0.64 0.36 1.3
## creative           9  0.20 0.74 0.59 0.41 1.1
## artistic           2  0.25 0.74 0.60 0.40 1.2
## exciting          14  0.47 0.68 0.68 0.32 1.8
## beautiful          5  0.57 0.67 0.77 0.23 1.9
## engaging          12  0.50 0.66 0.69 0.31 1.9
## pretty            25  0.59 0.65 0.77 0.23 2.0
## enjoyable         13  0.60 0.65 0.78 0.22 2.0
## likable           19  0.62 0.65 0.81 0.19 2.0
## attractive         3  0.62 0.64 0.79 0.21 2.0
## appealing          1  0.62 0.62 0.77 0.23 2.0
## provoking         27 -0.11 0.39 0.16 0.84 1.2
## 
##                        PA1  PA2
## SS loadings           9.90 9.50
## Proportion Var        0.32 0.31
## Cumulative Var        0.32 0.63
## Proportion Explained  0.51 0.49
## Cumulative Proportion 0.51 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  33.25
## The degrees of freedom for the model are 404  and the objective function was  5.07 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.94 0.94
## Multiple R square of scores with factors          0.88 0.88
## Minimum correlation of possible factor scores     0.75 0.76
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## clean              6  0.92 -0.21 0.63 0.37 1.1
## organized         23  0.89 -0.29 0.52 0.48 1.2
## professional      26  0.73 -0.08 0.45 0.55 1.0
## elegant           11  0.69  0.21 0.72 0.28 1.2
## balanced           4  0.65 -0.01 0.41 0.59 1.0
## wellDesigned      31  0.63  0.11 0.51 0.49 1.1
## satisfying        28  0.58  0.40 0.82 0.18 1.8
## harmonious        16  0.58  0.22 0.57 0.43 1.3
## pleasing          24  0.55  0.42 0.80 0.20 1.9
## motivating        21  0.52  0.39 0.71 0.29 1.8
## sophisticated     29  0.51  0.27 0.54 0.46 1.5
## tasteful          30  0.50  0.37 0.64 0.36 1.8
## nice              22  0.47  0.47 0.76 0.24 2.0
## lovely            20  0.46  0.44 0.69 0.31 2.0
## inviting          18  0.46  0.45 0.70 0.30 2.0
## cluttered          7  0.42 -0.13 0.12 0.88 1.2
## colorHarmonious    8  0.33  0.18 0.23 0.77 1.6
## creative           9 -0.14  0.86 0.59 0.41 1.1
## fascinating       15  0.04  0.84 0.76 0.24 1.0
## artistic           2 -0.07  0.83 0.60 0.40 1.0
## interesting       17 -0.02  0.82 0.64 0.36 1.0
## exciting          14  0.25  0.63 0.68 0.32 1.3
## engaging          12  0.29  0.60 0.69 0.31 1.4
## beautiful          5  0.38  0.57 0.77 0.23 1.7
## provoking         27 -0.35  0.56 0.16 0.84 1.7
## pretty            25  0.42  0.54 0.77 0.23 1.9
## enjoyable         13  0.43  0.53 0.78 0.22 1.9
## likable           19  0.46  0.51 0.81 0.19 2.0
## attractive         3  0.46  0.51 0.79 0.21 2.0
## delightful        10  0.48  0.48 0.79 0.21 2.0
## appealing          1  0.47  0.48 0.77 0.23 2.0
## 
##                        PA1  PA2
## SS loadings           9.93 9.48
## Proportion Var        0.32 0.31
## Cumulative Var        0.32 0.63
## Proportion Explained  0.51 0.49
## Cumulative Proportion 0.51 1.00
## 
##  With factor correlations of 
##     PA1 PA2
## PA1 1.0 0.7
## PA2 0.7 1.0
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  33.25
## The degrees of freedom for the model are 404  and the objective function was  5.07 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.95 0.95
## Minimum correlation of possible factor scores     0.90 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## satisfying      28 0.90 0.813 0.19   1
## likable         19 0.90 0.807 0.19   1
## pleasing        24 0.90 0.803 0.20   1
## attractive       3 0.89 0.795 0.20   1
## delightful      10 0.89 0.787 0.21   1
## enjoyable       13 0.88 0.781 0.22   1
## pretty          25 0.88 0.773 0.23   1
## appealing        1 0.88 0.767 0.23   1
## beautiful        5 0.87 0.761 0.24   1
## nice            22 0.87 0.760 0.24   1
## motivating      21 0.84 0.706 0.29   1
## inviting        18 0.84 0.703 0.30   1
## lovely          20 0.83 0.693 0.31   1
## elegant         11 0.83 0.691 0.31   1
## engaging        12 0.82 0.674 0.33   1
## exciting        14 0.81 0.657 0.34   1
## fascinating     15 0.80 0.647 0.35   1
## tasteful        30 0.80 0.642 0.36   1
## harmonious      16 0.74 0.550 0.45   1
## sophisticated   29 0.73 0.529 0.47   1
## interesting     17 0.73 0.527 0.47   1
## artistic         2 0.69 0.471 0.53   1
## wellDesigned    31 0.69 0.471 0.53   1
## clean            6 0.66 0.432 0.57   1
## creative         9 0.66 0.430 0.57   1
## professional    26 0.60 0.355 0.64   1
## balanced         4 0.59 0.344 0.66   1
## organized       23 0.55 0.304 0.70   1
## colorHarmonious  8 0.48 0.227 0.77   1
## cluttered        7 0.27 0.072 0.93   1
## provoking       27 0.19 0.037 0.96   1
## 
##                  PA1
## SS loadings    18.01
## Proportion Var  0.58
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  33.25
## The degrees of freedom for the model are 434  and the objective function was  6.4 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.97
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2   h2   u2 com
## clean              6  0.78 0.16 0.63 0.37 1.1
## elegant           11  0.72 0.46 0.72 0.28 1.7
## organized         23  0.72 0.06 0.52 0.48 1.0
## satisfying        28  0.69 0.59 0.82 0.18 2.0
## pleasing          24  0.67 0.60 0.80 0.20 2.0
## professional      26  0.64 0.20 0.45 0.55 1.2
## motivating        21  0.63 0.55 0.71 0.29 2.0
## delightful        10  0.63 0.63 0.79 0.21 2.0
## wellDesigned      31  0.63 0.34 0.51 0.49 1.5
## harmonious        16  0.62 0.43 0.57 0.43 1.8
## nice              22  0.62 0.61 0.76 0.24 2.0
## tasteful          30  0.60 0.53 0.64 0.36 2.0
## lovely            20  0.60 0.58 0.69 0.31 2.0
## inviting          18  0.60 0.59 0.70 0.30 2.0
## balanced           4  0.59 0.23 0.41 0.59 1.3
## sophisticated     29  0.58 0.45 0.54 0.46 1.9
## colorHarmonious    8  0.38 0.30 0.23 0.77 1.9
## cluttered          7  0.34 0.04 0.12 0.88 1.0
## fascinating       15  0.36 0.79 0.76 0.24 1.4
## interesting       17  0.29 0.75 0.64 0.36 1.3
## creative           9  0.20 0.74 0.59 0.41 1.1
## artistic           2  0.25 0.74 0.60 0.40 1.2
## exciting          14  0.47 0.68 0.68 0.32 1.8
## beautiful          5  0.57 0.67 0.77 0.23 1.9
## engaging          12  0.50 0.66 0.69 0.31 1.9
## pretty            25  0.59 0.65 0.77 0.23 2.0
## enjoyable         13  0.60 0.65 0.78 0.22 2.0
## likable           19  0.62 0.65 0.81 0.19 2.0
## attractive         3  0.62 0.64 0.79 0.21 2.0
## appealing          1  0.62 0.62 0.77 0.23 2.0
## provoking         27 -0.11 0.39 0.16 0.84 1.2
## 
##                        PA1  PA2
## SS loadings           9.90 9.50
## Proportion Var        0.32 0.31
## Cumulative Var        0.32 0.63
## Proportion Explained  0.51 0.49
## Cumulative Proportion 0.51 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  33.25
## The degrees of freedom for the model are 404  and the objective function was  5.07 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.94 0.94
## Multiple R square of scores with factors          0.88 0.88
## Minimum correlation of possible factor scores     0.75 0.76
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## clean              6  0.92 -0.21 0.63 0.37 1.1
## organized         23  0.89 -0.29 0.52 0.48 1.2
## professional      26  0.73 -0.08 0.45 0.55 1.0
## elegant           11  0.69  0.21 0.72 0.28 1.2
## balanced           4  0.65 -0.01 0.41 0.59 1.0
## wellDesigned      31  0.63  0.11 0.51 0.49 1.1
## satisfying        28  0.58  0.40 0.82 0.18 1.8
## harmonious        16  0.58  0.22 0.57 0.43 1.3
## pleasing          24  0.55  0.42 0.80 0.20 1.9
## motivating        21  0.52  0.39 0.71 0.29 1.8
## sophisticated     29  0.51  0.27 0.54 0.46 1.5
## tasteful          30  0.50  0.37 0.64 0.36 1.8
## nice              22  0.47  0.47 0.76 0.24 2.0
## lovely            20  0.46  0.44 0.69 0.31 2.0
## inviting          18  0.46  0.45 0.70 0.30 2.0
## cluttered          7  0.42 -0.13 0.12 0.88 1.2
## colorHarmonious    8  0.33  0.18 0.23 0.77 1.6
## creative           9 -0.14  0.86 0.59 0.41 1.1
## fascinating       15  0.04  0.84 0.76 0.24 1.0
## artistic           2 -0.07  0.83 0.60 0.40 1.0
## interesting       17 -0.02  0.82 0.64 0.36 1.0
## exciting          14  0.25  0.63 0.68 0.32 1.3
## engaging          12  0.29  0.60 0.69 0.31 1.4
## beautiful          5  0.38  0.57 0.77 0.23 1.7
## provoking         27 -0.35  0.56 0.16 0.84 1.7
## pretty            25  0.42  0.54 0.77 0.23 1.9
## enjoyable         13  0.43  0.53 0.78 0.22 1.9
## likable           19  0.46  0.51 0.81 0.19 2.0
## attractive         3  0.46  0.51 0.79 0.21 2.0
## delightful        10  0.48  0.48 0.79 0.21 2.0
## appealing          1  0.47  0.48 0.77 0.23 2.0
## 
##                        PA1  PA2
## SS loadings           9.93 9.48
## Proportion Var        0.32 0.31
## Cumulative Var        0.32 0.63
## Proportion Explained  0.51 0.49
## Cumulative Proportion 0.51 1.00
## 
##  With factor correlations of 
##     PA1 PA2
## PA1 1.0 0.7
## PA2 0.7 1.0
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  33.25
## The degrees of freedom for the model are 404  and the objective function was  5.07 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.95 0.95
## Minimum correlation of possible factor scores     0.90 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## satisfying      28 0.90 0.813 0.19   1
## likable         19 0.90 0.807 0.19   1
## pleasing        24 0.90 0.803 0.20   1
## attractive       3 0.89 0.795 0.20   1
## delightful      10 0.89 0.787 0.21   1
## enjoyable       13 0.88 0.781 0.22   1
## pretty          25 0.88 0.773 0.23   1
## appealing        1 0.88 0.767 0.23   1
## beautiful        5 0.87 0.761 0.24   1
## nice            22 0.87 0.760 0.24   1
## motivating      21 0.84 0.706 0.29   1
## inviting        18 0.84 0.703 0.30   1
## lovely          20 0.83 0.693 0.31   1
## elegant         11 0.83 0.691 0.31   1
## engaging        12 0.82 0.674 0.33   1
## exciting        14 0.81 0.657 0.34   1
## fascinating     15 0.80 0.647 0.35   1
## tasteful        30 0.80 0.642 0.36   1
## harmonious      16 0.74 0.550 0.45   1
## sophisticated   29 0.73 0.529 0.47   1
## interesting     17 0.73 0.527 0.47   1
## artistic         2 0.69 0.471 0.53   1
## wellDesigned    31 0.69 0.471 0.53   1
## clean            6 0.66 0.432 0.57   1
## creative         9 0.66 0.430 0.57   1
## professional    26 0.60 0.355 0.64   1
## balanced         4 0.59 0.344 0.66   1
## organized       23 0.55 0.304 0.70   1
## colorHarmonious  8 0.48 0.227 0.77   1
## cluttered        7 0.27 0.072 0.93   1
## provoking       27 0.19 0.037 0.96   1
## 
##                  PA1
## SS loadings    18.01
## Proportion Var  0.58
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  33.25
## The degrees of freedom for the model are 434  and the objective function was  6.4 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.97
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2   h2   u2 com
## clean              6  0.78 0.16 0.63 0.37 1.1
## elegant           11  0.72 0.46 0.72 0.28 1.7
## organized         23  0.72 0.06 0.52 0.48 1.0
## satisfying        28  0.69 0.59 0.82 0.18 2.0
## pleasing          24  0.67 0.60 0.80 0.20 2.0
## professional      26  0.64 0.20 0.45 0.55 1.2
## motivating        21  0.63 0.55 0.71 0.29 2.0
## delightful        10  0.63 0.63 0.79 0.21 2.0
## wellDesigned      31  0.63 0.34 0.51 0.49 1.5
## harmonious        16  0.62 0.43 0.57 0.43 1.8
## nice              22  0.62 0.61 0.76 0.24 2.0
## tasteful          30  0.60 0.53 0.64 0.36 2.0
## lovely            20  0.60 0.58 0.69 0.31 2.0
## inviting          18  0.60 0.59 0.70 0.30 2.0
## balanced           4  0.59 0.23 0.41 0.59 1.3
## sophisticated     29  0.58 0.45 0.54 0.46 1.9
## colorHarmonious    8  0.38 0.30 0.23 0.77 1.9
## cluttered          7  0.34 0.04 0.12 0.88 1.0
## fascinating       15  0.36 0.79 0.76 0.24 1.4
## interesting       17  0.29 0.75 0.64 0.36 1.3
## creative           9  0.20 0.74 0.59 0.41 1.1
## artistic           2  0.25 0.74 0.60 0.40 1.2
## exciting          14  0.47 0.68 0.68 0.32 1.8
## beautiful          5  0.57 0.67 0.77 0.23 1.9
## engaging          12  0.50 0.66 0.69 0.31 1.9
## pretty            25  0.59 0.65 0.77 0.23 2.0
## enjoyable         13  0.60 0.65 0.78 0.22 2.0
## likable           19  0.62 0.65 0.81 0.19 2.0
## attractive         3  0.62 0.64 0.79 0.21 2.0
## appealing          1  0.62 0.62 0.77 0.23 2.0
## provoking         27 -0.11 0.39 0.16 0.84 1.2
## 
##                        PA1  PA2
## SS loadings           9.90 9.50
## Proportion Var        0.32 0.31
## Cumulative Var        0.32 0.63
## Proportion Explained  0.51 0.49
## Cumulative Proportion 0.51 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  33.25
## The degrees of freedom for the model are 404  and the objective function was  5.07 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.94 0.94
## Multiple R square of scores with factors          0.88 0.88
## Minimum correlation of possible factor scores     0.75 0.76
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## clean              6  0.92 -0.21 0.63 0.37 1.1
## organized         23  0.89 -0.29 0.52 0.48 1.2
## professional      26  0.73 -0.08 0.45 0.55 1.0
## elegant           11  0.69  0.21 0.72 0.28 1.2
## balanced           4  0.65 -0.01 0.41 0.59 1.0
## wellDesigned      31  0.63  0.11 0.51 0.49 1.1
## satisfying        28  0.58  0.40 0.82 0.18 1.8
## harmonious        16  0.58  0.22 0.57 0.43 1.3
## pleasing          24  0.55  0.42 0.80 0.20 1.9
## motivating        21  0.52  0.39 0.71 0.29 1.8
## sophisticated     29  0.51  0.27 0.54 0.46 1.5
## tasteful          30  0.50  0.37 0.64 0.36 1.8
## nice              22  0.47  0.47 0.76 0.24 2.0
## lovely            20  0.46  0.44 0.69 0.31 2.0
## inviting          18  0.46  0.45 0.70 0.30 2.0
## cluttered          7  0.42 -0.13 0.12 0.88 1.2
## colorHarmonious    8  0.33  0.18 0.23 0.77 1.6
## creative           9 -0.14  0.86 0.59 0.41 1.1
## fascinating       15  0.04  0.84 0.76 0.24 1.0
## artistic           2 -0.07  0.83 0.60 0.40 1.0
## interesting       17 -0.02  0.82 0.64 0.36 1.0
## exciting          14  0.25  0.63 0.68 0.32 1.3
## engaging          12  0.29  0.60 0.69 0.31 1.4
## beautiful          5  0.38  0.57 0.77 0.23 1.7
## provoking         27 -0.35  0.56 0.16 0.84 1.7
## pretty            25  0.42  0.54 0.77 0.23 1.9
## enjoyable         13  0.43  0.53 0.78 0.22 1.9
## likable           19  0.46  0.51 0.81 0.19 2.0
## attractive         3  0.46  0.51 0.79 0.21 2.0
## delightful        10  0.48  0.48 0.79 0.21 2.0
## appealing          1  0.47  0.48 0.77 0.23 2.0
## 
##                        PA1  PA2
## SS loadings           9.93 9.48
## Proportion Var        0.32 0.31
## Cumulative Var        0.32 0.63
## Proportion Explained  0.51 0.49
## Cumulative Proportion 0.51 1.00
## 
##  With factor correlations of 
##     PA1 PA2
## PA1 1.0 0.7
## PA2 0.7 1.0
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  33.25
## The degrees of freedom for the model are 404  and the objective function was  5.07 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.95 0.95
## Minimum correlation of possible factor scores     0.90 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## satisfying      28 0.90 0.813 0.19   1
## likable         19 0.90 0.807 0.19   1
## pleasing        24 0.90 0.803 0.20   1
## attractive       3 0.89 0.795 0.20   1
## delightful      10 0.89 0.787 0.21   1
## enjoyable       13 0.88 0.781 0.22   1
## pretty          25 0.88 0.773 0.23   1
## appealing        1 0.88 0.767 0.23   1
## beautiful        5 0.87 0.761 0.24   1
## nice            22 0.87 0.760 0.24   1
## motivating      21 0.84 0.706 0.29   1
## inviting        18 0.84 0.703 0.30   1
## lovely          20 0.83 0.693 0.31   1
## elegant         11 0.83 0.691 0.31   1
## engaging        12 0.82 0.674 0.33   1
## exciting        14 0.81 0.657 0.34   1
## fascinating     15 0.80 0.647 0.35   1
## tasteful        30 0.80 0.642 0.36   1
## harmonious      16 0.74 0.550 0.45   1
## sophisticated   29 0.73 0.529 0.47   1
## interesting     17 0.73 0.527 0.47   1
## artistic         2 0.69 0.471 0.53   1
## wellDesigned    31 0.69 0.471 0.53   1
## clean            6 0.66 0.432 0.57   1
## creative         9 0.66 0.430 0.57   1
## professional    26 0.60 0.355 0.64   1
## balanced         4 0.59 0.344 0.66   1
## organized       23 0.55 0.304 0.70   1
## colorHarmonious  8 0.48 0.227 0.77   1
## cluttered        7 0.27 0.072 0.93   1
## provoking       27 0.19 0.037 0.96   1
## 
##                  PA1
## SS loadings    18.01
## Proportion Var  0.58
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  33.25
## The degrees of freedom for the model are 434  and the objective function was  6.4 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.97
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2   h2   u2 com
## clean              6  0.78 0.16 0.63 0.37 1.1
## elegant           11  0.72 0.46 0.72 0.28 1.7
## organized         23  0.72 0.06 0.52 0.48 1.0
## satisfying        28  0.69 0.59 0.82 0.18 2.0
## pleasing          24  0.67 0.60 0.80 0.20 2.0
## professional      26  0.64 0.20 0.45 0.55 1.2
## motivating        21  0.63 0.55 0.71 0.29 2.0
## delightful        10  0.63 0.63 0.79 0.21 2.0
## wellDesigned      31  0.63 0.34 0.51 0.49 1.5
## harmonious        16  0.62 0.43 0.57 0.43 1.8
## nice              22  0.62 0.61 0.76 0.24 2.0
## tasteful          30  0.60 0.53 0.64 0.36 2.0
## lovely            20  0.60 0.58 0.69 0.31 2.0
## inviting          18  0.60 0.59 0.70 0.30 2.0
## balanced           4  0.59 0.23 0.41 0.59 1.3
## sophisticated     29  0.58 0.45 0.54 0.46 1.9
## colorHarmonious    8  0.38 0.30 0.23 0.77 1.9
## cluttered          7  0.34 0.04 0.12 0.88 1.0
## fascinating       15  0.36 0.79 0.76 0.24 1.4
## interesting       17  0.29 0.75 0.64 0.36 1.3
## creative           9  0.20 0.74 0.59 0.41 1.1
## artistic           2  0.25 0.74 0.60 0.40 1.2
## exciting          14  0.47 0.68 0.68 0.32 1.8
## beautiful          5  0.57 0.67 0.77 0.23 1.9
## engaging          12  0.50 0.66 0.69 0.31 1.9
## pretty            25  0.59 0.65 0.77 0.23 2.0
## enjoyable         13  0.60 0.65 0.78 0.22 2.0
## likable           19  0.62 0.65 0.81 0.19 2.0
## attractive         3  0.62 0.64 0.79 0.21 2.0
## appealing          1  0.62 0.62 0.77 0.23 2.0
## provoking         27 -0.11 0.39 0.16 0.84 1.2
## 
##                        PA1  PA2
## SS loadings           9.90 9.50
## Proportion Var        0.32 0.31
## Cumulative Var        0.32 0.63
## Proportion Explained  0.51 0.49
## Cumulative Proportion 0.51 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  33.25
## The degrees of freedom for the model are 404  and the objective function was  5.07 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.94 0.94
## Multiple R square of scores with factors          0.88 0.88
## Minimum correlation of possible factor scores     0.75 0.76
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## clean              6  0.92 -0.21 0.63 0.37 1.1
## organized         23  0.89 -0.29 0.52 0.48 1.2
## professional      26  0.73 -0.08 0.45 0.55 1.0
## elegant           11  0.69  0.21 0.72 0.28 1.2
## balanced           4  0.65 -0.01 0.41 0.59 1.0
## wellDesigned      31  0.63  0.11 0.51 0.49 1.1
## satisfying        28  0.58  0.40 0.82 0.18 1.8
## harmonious        16  0.58  0.22 0.57 0.43 1.3
## pleasing          24  0.55  0.42 0.80 0.20 1.9
## motivating        21  0.52  0.39 0.71 0.29 1.8
## sophisticated     29  0.51  0.27 0.54 0.46 1.5
## tasteful          30  0.50  0.37 0.64 0.36 1.8
## nice              22  0.47  0.47 0.76 0.24 2.0
## lovely            20  0.46  0.44 0.69 0.31 2.0
## inviting          18  0.46  0.45 0.70 0.30 2.0
## cluttered          7  0.42 -0.13 0.12 0.88 1.2
## colorHarmonious    8  0.33  0.18 0.23 0.77 1.6
## creative           9 -0.14  0.86 0.59 0.41 1.1
## fascinating       15  0.04  0.84 0.76 0.24 1.0
## artistic           2 -0.07  0.83 0.60 0.40 1.0
## interesting       17 -0.02  0.82 0.64 0.36 1.0
## exciting          14  0.25  0.63 0.68 0.32 1.3
## engaging          12  0.29  0.60 0.69 0.31 1.4
## beautiful          5  0.38  0.57 0.77 0.23 1.7
## provoking         27 -0.35  0.56 0.16 0.84 1.7
## pretty            25  0.42  0.54 0.77 0.23 1.9
## enjoyable         13  0.43  0.53 0.78 0.22 1.9
## likable           19  0.46  0.51 0.81 0.19 2.0
## attractive         3  0.46  0.51 0.79 0.21 2.0
## delightful        10  0.48  0.48 0.79 0.21 2.0
## appealing          1  0.47  0.48 0.77 0.23 2.0
## 
##                        PA1  PA2
## SS loadings           9.93 9.48
## Proportion Var        0.32 0.31
## Cumulative Var        0.32 0.63
## Proportion Explained  0.51 0.49
## Cumulative Proportion 0.51 1.00
## 
##  With factor correlations of 
##     PA1 PA2
## PA1 1.0 0.7
## PA2 0.7 1.0
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  33.25
## The degrees of freedom for the model are 404  and the objective function was  5.07 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.95 0.95
## Minimum correlation of possible factor scores     0.90 0.91
## 
## 
## ## Image  8

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1   h2   u2 com
## likable         19 0.88 0.77 0.23   1
## enjoyable       13 0.87 0.76 0.24   1
## nice            22 0.87 0.76 0.24   1
## inviting        18 0.85 0.72 0.28   1
## appealing        1 0.85 0.72 0.28   1
## pleasing        24 0.84 0.71 0.29   1
## attractive       3 0.84 0.70 0.30   1
## engaging        12 0.83 0.69 0.31   1
## delightful      10 0.82 0.67 0.33   1
## lovely          20 0.81 0.66 0.34   1
## beautiful        5 0.81 0.65 0.35   1
## tasteful        30 0.81 0.65 0.35   1
## satisfying      28 0.80 0.65 0.35   1
## pretty          25 0.79 0.63 0.37   1
## exciting        14 0.77 0.59 0.41   1
## motivating      21 0.75 0.56 0.44   1
## interesting     17 0.74 0.55 0.45   1
## harmonious      16 0.74 0.55 0.45   1
## fascinating     15 0.71 0.50 0.50   1
## wellDesigned    31 0.71 0.50 0.50   1
## balanced         4 0.70 0.49 0.51   1
## creative         9 0.70 0.48 0.52   1
## clean            6 0.70 0.48 0.52   1
## elegant         11 0.69 0.47 0.53   1
## sophisticated   29 0.65 0.43 0.57   1
## artistic         2 0.61 0.37 0.63   1
## organized       23 0.60 0.36 0.64   1
## colorHarmonious  8 0.55 0.30 0.70   1
## professional    26 0.46 0.21 0.79   1
## provoking       27 0.37 0.14 0.86   1
## cluttered        7 0.34 0.11 0.89   1
## 
##                  PA1
## SS loadings    16.86
## Proportion Var  0.54
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.96
## The degrees of freedom for the model are 434  and the objective function was  6.18 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2   h2   u2 com
## enjoyable         13 0.79 0.39 0.78 0.22 1.5
## engaging          12 0.79 0.34 0.73 0.27 1.4
## exciting          14 0.77 0.25 0.66 0.34 1.2
## appealing          1 0.76 0.40 0.74 0.26 1.5
## inviting          18 0.76 0.40 0.74 0.26 1.5
## likable           19 0.76 0.45 0.78 0.22 1.6
## attractive         3 0.74 0.40 0.72 0.28 1.5
## nice              22 0.72 0.48 0.76 0.24 1.7
## lovely            20 0.72 0.39 0.67 0.33 1.6
## pleasing          24 0.71 0.45 0.72 0.28 1.7
## creative           9 0.71 0.22 0.55 0.45 1.2
## interesting       17 0.70 0.30 0.58 0.42 1.4
## delightful        10 0.70 0.43 0.67 0.33 1.7
## pretty            25 0.70 0.39 0.64 0.36 1.6
## satisfying        28 0.67 0.44 0.65 0.35 1.7
## artistic           2 0.65 0.15 0.45 0.55 1.1
## tasteful          30 0.65 0.48 0.65 0.35 1.8
## beautiful          5 0.64 0.49 0.65 0.35 1.9
## fascinating       15 0.64 0.33 0.51 0.49 1.5
## motivating        21 0.62 0.41 0.56 0.44 1.7
## colorHarmonious    8 0.43 0.34 0.30 0.70 1.9
## provoking         27 0.43 0.04 0.19 0.81 1.0
## wellDesigned      31 0.33 0.76 0.68 0.32 1.4
## elegant           11 0.33 0.72 0.63 0.37 1.4
## professional      26 0.05 0.71 0.51 0.49 1.0
## organized         23 0.23 0.71 0.55 0.45 1.2
## balanced           4 0.37 0.69 0.61 0.39 1.5
## clean              6 0.37 0.68 0.60 0.40 1.5
## harmonious        16 0.47 0.61 0.60 0.40 1.9
## sophisticated     29 0.41 0.54 0.47 0.53 1.9
## cluttered          7 0.18 0.32 0.13 0.87 1.6
## 
##                         PA1  PA2
## SS loadings           11.49 6.98
## Proportion Var         0.37 0.23
## Cumulative Var         0.37 0.60
## Proportion Explained   0.62 0.38
## Cumulative Proportion  0.62 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.96
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.93
## Multiple R square of scores with factors          0.92 0.86
## Minimum correlation of possible factor scores     0.84 0.72
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## exciting          14  0.89 -0.11 0.66 0.34 1.0
## engaging          12  0.86  0.00 0.73 0.27 1.0
## enjoyable         13  0.83  0.07 0.78 0.22 1.0
## creative           9  0.82 -0.11 0.55 0.45 1.0
## appealing          1  0.79  0.09 0.74 0.26 1.0
## inviting          18  0.79  0.09 0.74 0.26 1.0
## artistic           2  0.78 -0.17 0.45 0.55 1.1
## interesting       17  0.77  0.00 0.58 0.42 1.0
## attractive         3  0.76  0.11 0.72 0.28 1.0
## likable           19  0.75  0.17 0.78 0.22 1.1
## lovely            20  0.73  0.12 0.67 0.33 1.0
## pretty            25  0.71  0.11 0.64 0.36 1.1
## pleasing          24  0.70  0.19 0.72 0.28 1.2
## delightful        10  0.69  0.17 0.67 0.33 1.1
## nice              22  0.69  0.23 0.76 0.24 1.2
## fascinating       15  0.66  0.08 0.51 0.49 1.0
## satisfying        28  0.64  0.21 0.65 0.35 1.2
## motivating        21  0.59  0.20 0.56 0.44 1.2
## tasteful          30  0.59  0.27 0.65 0.35 1.4
## beautiful          5  0.58  0.29 0.65 0.35 1.5
## provoking         27  0.55 -0.19 0.19 0.81 1.2
## colorHarmonious    8  0.39  0.20 0.30 0.70 1.5
## professional      26 -0.33  0.91 0.51 0.49 1.3
## wellDesigned      31  0.01  0.82 0.68 0.32 1.0
## organized         23 -0.09  0.81 0.55 0.45 1.0
## elegant           11  0.03  0.78 0.63 0.37 1.0
## balanced           4  0.11  0.70 0.61 0.39 1.0
## clean              6  0.10  0.70 0.60 0.40 1.0
## harmonious        16  0.28  0.55 0.60 0.40 1.5
## sophisticated     29  0.24  0.49 0.47 0.53 1.5
## cluttered          7  0.06  0.32 0.13 0.87 1.1
## 
##                         PA1  PA2
## SS loadings           12.54 5.92
## Proportion Var         0.40 0.19
## Cumulative Var         0.40 0.60
## Proportion Explained   0.68 0.32
## Cumulative Proportion  0.68 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.72
## PA2 0.72 1.00
## 
## Mean item complexity =  1.1
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.96
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.99 0.96
## Multiple R square of scores with factors          0.97 0.93
## Minimum correlation of possible factor scores     0.95 0.86

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1   h2   u2 com
## likable         19 0.88 0.77 0.23   1
## enjoyable       13 0.87 0.76 0.24   1
## nice            22 0.87 0.76 0.24   1
## inviting        18 0.85 0.72 0.28   1
## appealing        1 0.85 0.72 0.28   1
## pleasing        24 0.84 0.71 0.29   1
## attractive       3 0.84 0.70 0.30   1
## engaging        12 0.83 0.69 0.31   1
## delightful      10 0.82 0.67 0.33   1
## lovely          20 0.81 0.66 0.34   1
## beautiful        5 0.81 0.65 0.35   1
## tasteful        30 0.81 0.65 0.35   1
## satisfying      28 0.80 0.65 0.35   1
## pretty          25 0.79 0.63 0.37   1
## exciting        14 0.77 0.59 0.41   1
## motivating      21 0.75 0.56 0.44   1
## interesting     17 0.74 0.55 0.45   1
## harmonious      16 0.74 0.55 0.45   1
## fascinating     15 0.71 0.50 0.50   1
## wellDesigned    31 0.71 0.50 0.50   1
## balanced         4 0.70 0.49 0.51   1
## creative         9 0.70 0.48 0.52   1
## clean            6 0.70 0.48 0.52   1
## elegant         11 0.69 0.47 0.53   1
## sophisticated   29 0.65 0.43 0.57   1
## artistic         2 0.61 0.37 0.63   1
## organized       23 0.60 0.36 0.64   1
## colorHarmonious  8 0.55 0.30 0.70   1
## professional    26 0.46 0.21 0.79   1
## provoking       27 0.37 0.14 0.86   1
## cluttered        7 0.34 0.11 0.89   1
## 
##                  PA1
## SS loadings    16.86
## Proportion Var  0.54
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.96
## The degrees of freedom for the model are 434  and the objective function was  6.18 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2   h2   u2 com
## enjoyable         13 0.79 0.39 0.78 0.22 1.5
## engaging          12 0.79 0.34 0.73 0.27 1.4
## exciting          14 0.77 0.25 0.66 0.34 1.2
## appealing          1 0.76 0.40 0.74 0.26 1.5
## inviting          18 0.76 0.40 0.74 0.26 1.5
## likable           19 0.76 0.45 0.78 0.22 1.6
## attractive         3 0.74 0.40 0.72 0.28 1.5
## nice              22 0.72 0.48 0.76 0.24 1.7
## lovely            20 0.72 0.39 0.67 0.33 1.6
## pleasing          24 0.71 0.45 0.72 0.28 1.7
## creative           9 0.71 0.22 0.55 0.45 1.2
## interesting       17 0.70 0.30 0.58 0.42 1.4
## delightful        10 0.70 0.43 0.67 0.33 1.7
## pretty            25 0.70 0.39 0.64 0.36 1.6
## satisfying        28 0.67 0.44 0.65 0.35 1.7
## artistic           2 0.65 0.15 0.45 0.55 1.1
## tasteful          30 0.65 0.48 0.65 0.35 1.8
## beautiful          5 0.64 0.49 0.65 0.35 1.9
## fascinating       15 0.64 0.33 0.51 0.49 1.5
## motivating        21 0.62 0.41 0.56 0.44 1.7
## colorHarmonious    8 0.43 0.34 0.30 0.70 1.9
## provoking         27 0.43 0.04 0.19 0.81 1.0
## wellDesigned      31 0.33 0.76 0.68 0.32 1.4
## elegant           11 0.33 0.72 0.63 0.37 1.4
## professional      26 0.05 0.71 0.51 0.49 1.0
## organized         23 0.23 0.71 0.55 0.45 1.2
## balanced           4 0.37 0.69 0.61 0.39 1.5
## clean              6 0.37 0.68 0.60 0.40 1.5
## harmonious        16 0.47 0.61 0.60 0.40 1.9
## sophisticated     29 0.41 0.54 0.47 0.53 1.9
## cluttered          7 0.18 0.32 0.13 0.87 1.6
## 
##                         PA1  PA2
## SS loadings           11.49 6.98
## Proportion Var         0.37 0.23
## Cumulative Var         0.37 0.60
## Proportion Explained   0.62 0.38
## Cumulative Proportion  0.62 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.96
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.93
## Multiple R square of scores with factors          0.92 0.86
## Minimum correlation of possible factor scores     0.84 0.72
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## exciting          14  0.89 -0.11 0.66 0.34 1.0
## engaging          12  0.86  0.00 0.73 0.27 1.0
## enjoyable         13  0.83  0.07 0.78 0.22 1.0
## creative           9  0.82 -0.11 0.55 0.45 1.0
## appealing          1  0.79  0.09 0.74 0.26 1.0
## inviting          18  0.79  0.09 0.74 0.26 1.0
## artistic           2  0.78 -0.17 0.45 0.55 1.1
## interesting       17  0.77  0.00 0.58 0.42 1.0
## attractive         3  0.76  0.11 0.72 0.28 1.0
## likable           19  0.75  0.17 0.78 0.22 1.1
## lovely            20  0.73  0.12 0.67 0.33 1.0
## pretty            25  0.71  0.11 0.64 0.36 1.1
## pleasing          24  0.70  0.19 0.72 0.28 1.2
## delightful        10  0.69  0.17 0.67 0.33 1.1
## nice              22  0.69  0.23 0.76 0.24 1.2
## fascinating       15  0.66  0.08 0.51 0.49 1.0
## satisfying        28  0.64  0.21 0.65 0.35 1.2
## motivating        21  0.59  0.20 0.56 0.44 1.2
## tasteful          30  0.59  0.27 0.65 0.35 1.4
## beautiful          5  0.58  0.29 0.65 0.35 1.5
## provoking         27  0.55 -0.19 0.19 0.81 1.2
## colorHarmonious    8  0.39  0.20 0.30 0.70 1.5
## professional      26 -0.33  0.91 0.51 0.49 1.3
## wellDesigned      31  0.01  0.82 0.68 0.32 1.0
## organized         23 -0.09  0.81 0.55 0.45 1.0
## elegant           11  0.03  0.78 0.63 0.37 1.0
## balanced           4  0.11  0.70 0.61 0.39 1.0
## clean              6  0.10  0.70 0.60 0.40 1.0
## harmonious        16  0.28  0.55 0.60 0.40 1.5
## sophisticated     29  0.24  0.49 0.47 0.53 1.5
## cluttered          7  0.06  0.32 0.13 0.87 1.1
## 
##                         PA1  PA2
## SS loadings           12.54 5.92
## Proportion Var         0.40 0.19
## Cumulative Var         0.40 0.60
## Proportion Explained   0.68 0.32
## Cumulative Proportion  0.68 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.72
## PA2 0.72 1.00
## 
## Mean item complexity =  1.1
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.96
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.99 0.96
## Multiple R square of scores with factors          0.97 0.93
## Minimum correlation of possible factor scores     0.95 0.86

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1   h2   u2 com
## likable         19 0.88 0.77 0.23   1
## enjoyable       13 0.87 0.76 0.24   1
## nice            22 0.87 0.76 0.24   1
## inviting        18 0.85 0.72 0.28   1
## appealing        1 0.85 0.72 0.28   1
## pleasing        24 0.84 0.71 0.29   1
## attractive       3 0.84 0.70 0.30   1
## engaging        12 0.83 0.69 0.31   1
## delightful      10 0.82 0.67 0.33   1
## lovely          20 0.81 0.66 0.34   1
## beautiful        5 0.81 0.65 0.35   1
## tasteful        30 0.81 0.65 0.35   1
## satisfying      28 0.80 0.65 0.35   1
## pretty          25 0.79 0.63 0.37   1
## exciting        14 0.77 0.59 0.41   1
## motivating      21 0.75 0.56 0.44   1
## interesting     17 0.74 0.55 0.45   1
## harmonious      16 0.74 0.55 0.45   1
## fascinating     15 0.71 0.50 0.50   1
## wellDesigned    31 0.71 0.50 0.50   1
## balanced         4 0.70 0.49 0.51   1
## creative         9 0.70 0.48 0.52   1
## clean            6 0.70 0.48 0.52   1
## elegant         11 0.69 0.47 0.53   1
## sophisticated   29 0.65 0.43 0.57   1
## artistic         2 0.61 0.37 0.63   1
## organized       23 0.60 0.36 0.64   1
## colorHarmonious  8 0.55 0.30 0.70   1
## professional    26 0.46 0.21 0.79   1
## provoking       27 0.37 0.14 0.86   1
## cluttered        7 0.34 0.11 0.89   1
## 
##                  PA1
## SS loadings    16.86
## Proportion Var  0.54
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.96
## The degrees of freedom for the model are 434  and the objective function was  6.18 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2   h2   u2 com
## enjoyable         13 0.79 0.39 0.78 0.22 1.5
## engaging          12 0.79 0.34 0.73 0.27 1.4
## exciting          14 0.77 0.25 0.66 0.34 1.2
## appealing          1 0.76 0.40 0.74 0.26 1.5
## inviting          18 0.76 0.40 0.74 0.26 1.5
## likable           19 0.76 0.45 0.78 0.22 1.6
## attractive         3 0.74 0.40 0.72 0.28 1.5
## nice              22 0.72 0.48 0.76 0.24 1.7
## lovely            20 0.72 0.39 0.67 0.33 1.6
## pleasing          24 0.71 0.45 0.72 0.28 1.7
## creative           9 0.71 0.22 0.55 0.45 1.2
## interesting       17 0.70 0.30 0.58 0.42 1.4
## delightful        10 0.70 0.43 0.67 0.33 1.7
## pretty            25 0.70 0.39 0.64 0.36 1.6
## satisfying        28 0.67 0.44 0.65 0.35 1.7
## artistic           2 0.65 0.15 0.45 0.55 1.1
## tasteful          30 0.65 0.48 0.65 0.35 1.8
## beautiful          5 0.64 0.49 0.65 0.35 1.9
## fascinating       15 0.64 0.33 0.51 0.49 1.5
## motivating        21 0.62 0.41 0.56 0.44 1.7
## colorHarmonious    8 0.43 0.34 0.30 0.70 1.9
## provoking         27 0.43 0.04 0.19 0.81 1.0
## wellDesigned      31 0.33 0.76 0.68 0.32 1.4
## elegant           11 0.33 0.72 0.63 0.37 1.4
## professional      26 0.05 0.71 0.51 0.49 1.0
## organized         23 0.23 0.71 0.55 0.45 1.2
## balanced           4 0.37 0.69 0.61 0.39 1.5
## clean              6 0.37 0.68 0.60 0.40 1.5
## harmonious        16 0.47 0.61 0.60 0.40 1.9
## sophisticated     29 0.41 0.54 0.47 0.53 1.9
## cluttered          7 0.18 0.32 0.13 0.87 1.6
## 
##                         PA1  PA2
## SS loadings           11.49 6.98
## Proportion Var         0.37 0.23
## Cumulative Var         0.37 0.60
## Proportion Explained   0.62 0.38
## Cumulative Proportion  0.62 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.96
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.93
## Multiple R square of scores with factors          0.92 0.86
## Minimum correlation of possible factor scores     0.84 0.72
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## exciting          14  0.89 -0.11 0.66 0.34 1.0
## engaging          12  0.86  0.00 0.73 0.27 1.0
## enjoyable         13  0.83  0.07 0.78 0.22 1.0
## creative           9  0.82 -0.11 0.55 0.45 1.0
## appealing          1  0.79  0.09 0.74 0.26 1.0
## inviting          18  0.79  0.09 0.74 0.26 1.0
## artistic           2  0.78 -0.17 0.45 0.55 1.1
## interesting       17  0.77  0.00 0.58 0.42 1.0
## attractive         3  0.76  0.11 0.72 0.28 1.0
## likable           19  0.75  0.17 0.78 0.22 1.1
## lovely            20  0.73  0.12 0.67 0.33 1.0
## pretty            25  0.71  0.11 0.64 0.36 1.1
## pleasing          24  0.70  0.19 0.72 0.28 1.2
## delightful        10  0.69  0.17 0.67 0.33 1.1
## nice              22  0.69  0.23 0.76 0.24 1.2
## fascinating       15  0.66  0.08 0.51 0.49 1.0
## satisfying        28  0.64  0.21 0.65 0.35 1.2
## motivating        21  0.59  0.20 0.56 0.44 1.2
## tasteful          30  0.59  0.27 0.65 0.35 1.4
## beautiful          5  0.58  0.29 0.65 0.35 1.5
## provoking         27  0.55 -0.19 0.19 0.81 1.2
## colorHarmonious    8  0.39  0.20 0.30 0.70 1.5
## professional      26 -0.33  0.91 0.51 0.49 1.3
## wellDesigned      31  0.01  0.82 0.68 0.32 1.0
## organized         23 -0.09  0.81 0.55 0.45 1.0
## elegant           11  0.03  0.78 0.63 0.37 1.0
## balanced           4  0.11  0.70 0.61 0.39 1.0
## clean              6  0.10  0.70 0.60 0.40 1.0
## harmonious        16  0.28  0.55 0.60 0.40 1.5
## sophisticated     29  0.24  0.49 0.47 0.53 1.5
## cluttered          7  0.06  0.32 0.13 0.87 1.1
## 
##                         PA1  PA2
## SS loadings           12.54 5.92
## Proportion Var         0.40 0.19
## Cumulative Var         0.40 0.60
## Proportion Explained   0.68 0.32
## Cumulative Proportion  0.68 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.72
## PA2 0.72 1.00
## 
## Mean item complexity =  1.1
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.96
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.99 0.96
## Multiple R square of scores with factors          0.97 0.93
## Minimum correlation of possible factor scores     0.95 0.86

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1   h2   u2 com
## likable         19 0.88 0.77 0.23   1
## enjoyable       13 0.87 0.76 0.24   1
## nice            22 0.87 0.76 0.24   1
## inviting        18 0.85 0.72 0.28   1
## appealing        1 0.85 0.72 0.28   1
## pleasing        24 0.84 0.71 0.29   1
## attractive       3 0.84 0.70 0.30   1
## engaging        12 0.83 0.69 0.31   1
## delightful      10 0.82 0.67 0.33   1
## lovely          20 0.81 0.66 0.34   1
## beautiful        5 0.81 0.65 0.35   1
## tasteful        30 0.81 0.65 0.35   1
## satisfying      28 0.80 0.65 0.35   1
## pretty          25 0.79 0.63 0.37   1
## exciting        14 0.77 0.59 0.41   1
## motivating      21 0.75 0.56 0.44   1
## interesting     17 0.74 0.55 0.45   1
## harmonious      16 0.74 0.55 0.45   1
## fascinating     15 0.71 0.50 0.50   1
## wellDesigned    31 0.71 0.50 0.50   1
## balanced         4 0.70 0.49 0.51   1
## creative         9 0.70 0.48 0.52   1
## clean            6 0.70 0.48 0.52   1
## elegant         11 0.69 0.47 0.53   1
## sophisticated   29 0.65 0.43 0.57   1
## artistic         2 0.61 0.37 0.63   1
## organized       23 0.60 0.36 0.64   1
## colorHarmonious  8 0.55 0.30 0.70   1
## professional    26 0.46 0.21 0.79   1
## provoking       27 0.37 0.14 0.86   1
## cluttered        7 0.34 0.11 0.89   1
## 
##                  PA1
## SS loadings    16.86
## Proportion Var  0.54
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.96
## The degrees of freedom for the model are 434  and the objective function was  6.18 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2   h2   u2 com
## enjoyable         13 0.79 0.39 0.78 0.22 1.5
## engaging          12 0.79 0.34 0.73 0.27 1.4
## exciting          14 0.77 0.25 0.66 0.34 1.2
## appealing          1 0.76 0.40 0.74 0.26 1.5
## inviting          18 0.76 0.40 0.74 0.26 1.5
## likable           19 0.76 0.45 0.78 0.22 1.6
## attractive         3 0.74 0.40 0.72 0.28 1.5
## nice              22 0.72 0.48 0.76 0.24 1.7
## lovely            20 0.72 0.39 0.67 0.33 1.6
## pleasing          24 0.71 0.45 0.72 0.28 1.7
## creative           9 0.71 0.22 0.55 0.45 1.2
## interesting       17 0.70 0.30 0.58 0.42 1.4
## delightful        10 0.70 0.43 0.67 0.33 1.7
## pretty            25 0.70 0.39 0.64 0.36 1.6
## satisfying        28 0.67 0.44 0.65 0.35 1.7
## artistic           2 0.65 0.15 0.45 0.55 1.1
## tasteful          30 0.65 0.48 0.65 0.35 1.8
## beautiful          5 0.64 0.49 0.65 0.35 1.9
## fascinating       15 0.64 0.33 0.51 0.49 1.5
## motivating        21 0.62 0.41 0.56 0.44 1.7
## colorHarmonious    8 0.43 0.34 0.30 0.70 1.9
## provoking         27 0.43 0.04 0.19 0.81 1.0
## wellDesigned      31 0.33 0.76 0.68 0.32 1.4
## elegant           11 0.33 0.72 0.63 0.37 1.4
## professional      26 0.05 0.71 0.51 0.49 1.0
## organized         23 0.23 0.71 0.55 0.45 1.2
## balanced           4 0.37 0.69 0.61 0.39 1.5
## clean              6 0.37 0.68 0.60 0.40 1.5
## harmonious        16 0.47 0.61 0.60 0.40 1.9
## sophisticated     29 0.41 0.54 0.47 0.53 1.9
## cluttered          7 0.18 0.32 0.13 0.87 1.6
## 
##                         PA1  PA2
## SS loadings           11.49 6.98
## Proportion Var         0.37 0.23
## Cumulative Var         0.37 0.60
## Proportion Explained   0.62 0.38
## Cumulative Proportion  0.62 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.96
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.93
## Multiple R square of scores with factors          0.92 0.86
## Minimum correlation of possible factor scores     0.84 0.72
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## exciting          14  0.89 -0.11 0.66 0.34 1.0
## engaging          12  0.86  0.00 0.73 0.27 1.0
## enjoyable         13  0.83  0.07 0.78 0.22 1.0
## creative           9  0.82 -0.11 0.55 0.45 1.0
## appealing          1  0.79  0.09 0.74 0.26 1.0
## inviting          18  0.79  0.09 0.74 0.26 1.0
## artistic           2  0.78 -0.17 0.45 0.55 1.1
## interesting       17  0.77  0.00 0.58 0.42 1.0
## attractive         3  0.76  0.11 0.72 0.28 1.0
## likable           19  0.75  0.17 0.78 0.22 1.1
## lovely            20  0.73  0.12 0.67 0.33 1.0
## pretty            25  0.71  0.11 0.64 0.36 1.1
## pleasing          24  0.70  0.19 0.72 0.28 1.2
## delightful        10  0.69  0.17 0.67 0.33 1.1
## nice              22  0.69  0.23 0.76 0.24 1.2
## fascinating       15  0.66  0.08 0.51 0.49 1.0
## satisfying        28  0.64  0.21 0.65 0.35 1.2
## motivating        21  0.59  0.20 0.56 0.44 1.2
## tasteful          30  0.59  0.27 0.65 0.35 1.4
## beautiful          5  0.58  0.29 0.65 0.35 1.5
## provoking         27  0.55 -0.19 0.19 0.81 1.2
## colorHarmonious    8  0.39  0.20 0.30 0.70 1.5
## professional      26 -0.33  0.91 0.51 0.49 1.3
## wellDesigned      31  0.01  0.82 0.68 0.32 1.0
## organized         23 -0.09  0.81 0.55 0.45 1.0
## elegant           11  0.03  0.78 0.63 0.37 1.0
## balanced           4  0.11  0.70 0.61 0.39 1.0
## clean              6  0.10  0.70 0.60 0.40 1.0
## harmonious        16  0.28  0.55 0.60 0.40 1.5
## sophisticated     29  0.24  0.49 0.47 0.53 1.5
## cluttered          7  0.06  0.32 0.13 0.87 1.1
## 
##                         PA1  PA2
## SS loadings           12.54 5.92
## Proportion Var         0.40 0.19
## Cumulative Var         0.40 0.60
## Proportion Explained   0.68 0.32
## Cumulative Proportion  0.68 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.72
## PA2 0.72 1.00
## 
## Mean item complexity =  1.1
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.96
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.99 0.96
## Multiple R square of scores with factors          0.97 0.93
## Minimum correlation of possible factor scores     0.95 0.86

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1   h2   u2 com
## likable         19 0.88 0.77 0.23   1
## enjoyable       13 0.87 0.76 0.24   1
## nice            22 0.87 0.76 0.24   1
## inviting        18 0.85 0.72 0.28   1
## appealing        1 0.85 0.72 0.28   1
## pleasing        24 0.84 0.71 0.29   1
## attractive       3 0.84 0.70 0.30   1
## engaging        12 0.83 0.69 0.31   1
## delightful      10 0.82 0.67 0.33   1
## lovely          20 0.81 0.66 0.34   1
## beautiful        5 0.81 0.65 0.35   1
## tasteful        30 0.81 0.65 0.35   1
## satisfying      28 0.80 0.65 0.35   1
## pretty          25 0.79 0.63 0.37   1
## exciting        14 0.77 0.59 0.41   1
## motivating      21 0.75 0.56 0.44   1
## interesting     17 0.74 0.55 0.45   1
## harmonious      16 0.74 0.55 0.45   1
## fascinating     15 0.71 0.50 0.50   1
## wellDesigned    31 0.71 0.50 0.50   1
## balanced         4 0.70 0.49 0.51   1
## creative         9 0.70 0.48 0.52   1
## clean            6 0.70 0.48 0.52   1
## elegant         11 0.69 0.47 0.53   1
## sophisticated   29 0.65 0.43 0.57   1
## artistic         2 0.61 0.37 0.63   1
## organized       23 0.60 0.36 0.64   1
## colorHarmonious  8 0.55 0.30 0.70   1
## professional    26 0.46 0.21 0.79   1
## provoking       27 0.37 0.14 0.86   1
## cluttered        7 0.34 0.11 0.89   1
## 
##                  PA1
## SS loadings    16.86
## Proportion Var  0.54
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.96
## The degrees of freedom for the model are 434  and the objective function was  6.18 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2   h2   u2 com
## enjoyable         13 0.79 0.39 0.78 0.22 1.5
## engaging          12 0.79 0.34 0.73 0.27 1.4
## exciting          14 0.77 0.25 0.66 0.34 1.2
## appealing          1 0.76 0.40 0.74 0.26 1.5
## inviting          18 0.76 0.40 0.74 0.26 1.5
## likable           19 0.76 0.45 0.78 0.22 1.6
## attractive         3 0.74 0.40 0.72 0.28 1.5
## nice              22 0.72 0.48 0.76 0.24 1.7
## lovely            20 0.72 0.39 0.67 0.33 1.6
## pleasing          24 0.71 0.45 0.72 0.28 1.7
## creative           9 0.71 0.22 0.55 0.45 1.2
## interesting       17 0.70 0.30 0.58 0.42 1.4
## delightful        10 0.70 0.43 0.67 0.33 1.7
## pretty            25 0.70 0.39 0.64 0.36 1.6
## satisfying        28 0.67 0.44 0.65 0.35 1.7
## artistic           2 0.65 0.15 0.45 0.55 1.1
## tasteful          30 0.65 0.48 0.65 0.35 1.8
## beautiful          5 0.64 0.49 0.65 0.35 1.9
## fascinating       15 0.64 0.33 0.51 0.49 1.5
## motivating        21 0.62 0.41 0.56 0.44 1.7
## colorHarmonious    8 0.43 0.34 0.30 0.70 1.9
## provoking         27 0.43 0.04 0.19 0.81 1.0
## wellDesigned      31 0.33 0.76 0.68 0.32 1.4
## elegant           11 0.33 0.72 0.63 0.37 1.4
## professional      26 0.05 0.71 0.51 0.49 1.0
## organized         23 0.23 0.71 0.55 0.45 1.2
## balanced           4 0.37 0.69 0.61 0.39 1.5
## clean              6 0.37 0.68 0.60 0.40 1.5
## harmonious        16 0.47 0.61 0.60 0.40 1.9
## sophisticated     29 0.41 0.54 0.47 0.53 1.9
## cluttered          7 0.18 0.32 0.13 0.87 1.6
## 
##                         PA1  PA2
## SS loadings           11.49 6.98
## Proportion Var         0.37 0.23
## Cumulative Var         0.37 0.60
## Proportion Explained   0.62 0.38
## Cumulative Proportion  0.62 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.96
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.93
## Multiple R square of scores with factors          0.92 0.86
## Minimum correlation of possible factor scores     0.84 0.72
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## exciting          14  0.89 -0.11 0.66 0.34 1.0
## engaging          12  0.86  0.00 0.73 0.27 1.0
## enjoyable         13  0.83  0.07 0.78 0.22 1.0
## creative           9  0.82 -0.11 0.55 0.45 1.0
## appealing          1  0.79  0.09 0.74 0.26 1.0
## inviting          18  0.79  0.09 0.74 0.26 1.0
## artistic           2  0.78 -0.17 0.45 0.55 1.1
## interesting       17  0.77  0.00 0.58 0.42 1.0
## attractive         3  0.76  0.11 0.72 0.28 1.0
## likable           19  0.75  0.17 0.78 0.22 1.1
## lovely            20  0.73  0.12 0.67 0.33 1.0
## pretty            25  0.71  0.11 0.64 0.36 1.1
## pleasing          24  0.70  0.19 0.72 0.28 1.2
## delightful        10  0.69  0.17 0.67 0.33 1.1
## nice              22  0.69  0.23 0.76 0.24 1.2
## fascinating       15  0.66  0.08 0.51 0.49 1.0
## satisfying        28  0.64  0.21 0.65 0.35 1.2
## motivating        21  0.59  0.20 0.56 0.44 1.2
## tasteful          30  0.59  0.27 0.65 0.35 1.4
## beautiful          5  0.58  0.29 0.65 0.35 1.5
## provoking         27  0.55 -0.19 0.19 0.81 1.2
## colorHarmonious    8  0.39  0.20 0.30 0.70 1.5
## professional      26 -0.33  0.91 0.51 0.49 1.3
## wellDesigned      31  0.01  0.82 0.68 0.32 1.0
## organized         23 -0.09  0.81 0.55 0.45 1.0
## elegant           11  0.03  0.78 0.63 0.37 1.0
## balanced           4  0.11  0.70 0.61 0.39 1.0
## clean              6  0.10  0.70 0.60 0.40 1.0
## harmonious        16  0.28  0.55 0.60 0.40 1.5
## sophisticated     29  0.24  0.49 0.47 0.53 1.5
## cluttered          7  0.06  0.32 0.13 0.87 1.1
## 
##                         PA1  PA2
## SS loadings           12.54 5.92
## Proportion Var         0.40 0.19
## Cumulative Var         0.40 0.60
## Proportion Explained   0.68 0.32
## Cumulative Proportion  0.68 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.72
## PA2 0.72 1.00
## 
## Mean item complexity =  1.1
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  28.96
## The degrees of freedom for the model are 404  and the objective function was  4.46 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.99 0.96
## Multiple R square of scores with factors          0.97 0.93
## Minimum correlation of possible factor scores     0.95 0.86
## 
## 
## ## Image  9

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1   h2   u2 com
## appealing        1 0.85 0.72 0.28   1
## attractive       3 0.84 0.71 0.29   1
## enjoyable       13 0.84 0.71 0.29   1
## likable         19 0.84 0.71 0.29   1
## satisfying      28 0.82 0.68 0.32   1
## nice            22 0.81 0.66 0.34   1
## tasteful        30 0.81 0.65 0.35   1
## pleasing        24 0.80 0.65 0.35   1
## delightful      10 0.79 0.62 0.38   1
## inviting        18 0.78 0.61 0.39   1
## pretty          25 0.76 0.58 0.42   1
## beautiful        5 0.76 0.57 0.43   1
## motivating      21 0.75 0.56 0.44   1
## lovely          20 0.74 0.54 0.46   1
## engaging        12 0.74 0.54 0.46   1
## wellDesigned    31 0.73 0.53 0.47   1
## fascinating     15 0.72 0.51 0.49   1
## elegant         11 0.71 0.50 0.50   1
## exciting        14 0.70 0.49 0.51   1
## harmonious      16 0.69 0.48 0.52   1
## sophisticated   29 0.66 0.43 0.57   1
## balanced         4 0.65 0.42 0.58   1
## creative         9 0.62 0.39 0.61   1
## interesting     17 0.61 0.37 0.63   1
## clean            6 0.60 0.36 0.64   1
## organized       23 0.59 0.35 0.65   1
## artistic         2 0.56 0.32 0.68   1
## professional    26 0.50 0.25 0.75   1
## colorHarmonious  8 0.43 0.19 0.81   1
## cluttered        7 0.41 0.17 0.83   1
## provoking       27 0.32 0.10 0.90   1
## 
##                  PA1
## SS loadings    15.38
## Proportion Var  0.50
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  25.71
## The degrees of freedom for the model are 434  and the objective function was  6.37 
## 
## The root mean square of the residuals (RMSR) is  0.07 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.97
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2   h2   u2 com
## attractive         3 0.75 0.42 0.74 0.26 1.6
## pretty            25 0.75 0.30 0.65 0.35 1.3
## artistic           2 0.74 0.01 0.54 0.46 1.0
## creative           9 0.70 0.14 0.51 0.49 1.1
## beautiful          5 0.69 0.36 0.60 0.40 1.5
## fascinating       15 0.69 0.30 0.56 0.44 1.4
## enjoyable         13 0.68 0.50 0.71 0.29 1.8
## exciting          14 0.68 0.28 0.54 0.46 1.3
## appealing          1 0.67 0.52 0.72 0.28 1.9
## delightful        10 0.67 0.43 0.63 0.37 1.7
## likable           19 0.67 0.51 0.71 0.29 1.9
## lovely            20 0.65 0.38 0.56 0.44 1.6
## inviting          18 0.64 0.45 0.62 0.38 1.8
## nice              22 0.64 0.50 0.66 0.34 1.9
## engaging          12 0.63 0.40 0.55 0.45 1.7
## motivating        21 0.62 0.43 0.57 0.43 1.8
## pleasing          24 0.58 0.55 0.65 0.35 2.0
## interesting       17 0.57 0.26 0.40 0.60 1.4
## provoking         27 0.35 0.08 0.13 0.87 1.1
## clean              6 0.14 0.78 0.63 0.37 1.1
## professional      26 0.05 0.73 0.54 0.46 1.0
## organized         23 0.18 0.71 0.53 0.47 1.1
## wellDesigned      31 0.38 0.68 0.61 0.39 1.6
## balanced           4 0.29 0.67 0.53 0.47 1.4
## harmonious        16 0.37 0.64 0.55 0.45 1.6
## satisfying        28 0.56 0.61 0.69 0.31 2.0
## tasteful          30 0.54 0.61 0.66 0.34 2.0
## elegant           11 0.44 0.58 0.53 0.47 1.9
## sophisticated     29 0.40 0.55 0.46 0.54 1.8
## cluttered          7 0.22 0.37 0.18 0.82 1.6
## colorHarmonious    8 0.30 0.32 0.19 0.81 2.0
## 
##                        PA1  PA2
## SS loadings           9.70 7.45
## Proportion Var        0.31 0.24
## Cumulative Var        0.31 0.55
## Proportion Explained  0.57 0.43
## Cumulative Proportion 0.57 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  25.71
## The degrees of freedom for the model are 404  and the objective function was  4.59 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.93
## Multiple R square of scores with factors          0.90 0.87
## Minimum correlation of possible factor scores     0.81 0.74
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## artistic           2  0.97 -0.40 0.54 0.46 1.3
## creative           9  0.85 -0.20 0.51 0.49 1.1
## pretty            25  0.82 -0.03 0.65 0.35 1.0
## attractive         3  0.76  0.13 0.74 0.26 1.1
## exciting          14  0.75 -0.02 0.54 0.46 1.0
## fascinating       15  0.74  0.01 0.56 0.44 1.0
## beautiful          5  0.71  0.09 0.60 0.40 1.0
## delightful        10  0.64  0.20 0.63 0.37 1.2
## lovely            20  0.64  0.14 0.56 0.44 1.1
## enjoyable         13  0.62  0.28 0.71 0.29 1.4
## interesting       17  0.61  0.03 0.40 0.60 1.0
## engaging          12  0.61  0.18 0.55 0.45 1.2
## inviting          18  0.60  0.23 0.62 0.38 1.3
## likable           19  0.60  0.30 0.71 0.29 1.5
## appealing          1  0.59  0.31 0.72 0.28 1.5
## motivating        21  0.58  0.22 0.57 0.43 1.3
## nice              22  0.57  0.30 0.66 0.34 1.5
## pleasing          24  0.47  0.40 0.65 0.35 2.0
## provoking         27  0.42 -0.10 0.13 0.87 1.1
## clean              6 -0.25  0.95 0.63 0.37 1.1
## professional      26 -0.34  0.94 0.54 0.46 1.3
## organized         23 -0.15  0.83 0.53 0.47 1.1
## balanced           4  0.01  0.72 0.53 0.47 1.0
## wellDesigned      31  0.12  0.69 0.61 0.39 1.1
## harmonious        16  0.13  0.64 0.55 0.45 1.1
## elegant           11  0.26  0.52 0.53 0.47 1.5
## sophisticated     29  0.22  0.50 0.46 0.54 1.4
## tasteful          30  0.38  0.50 0.66 0.34 1.9
## satisfying        28  0.40  0.49 0.69 0.31 1.9
## cluttered          7  0.09  0.36 0.18 0.82 1.1
## colorHarmonious    8  0.21  0.26 0.19 0.81 1.9
## 
##                         PA1  PA2
## SS loadings           10.21 6.94
## Proportion Var         0.33 0.22
## Cumulative Var         0.33 0.55
## Proportion Explained   0.60 0.40
## Cumulative Proportion  0.60 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.72
## PA2 0.72 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  25.71
## The degrees of freedom for the model are 404  and the objective function was  4.59 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.92 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1   h2   u2 com
## appealing        1 0.85 0.72 0.28   1
## attractive       3 0.84 0.71 0.29   1
## enjoyable       13 0.84 0.71 0.29   1
## likable         19 0.84 0.71 0.29   1
## satisfying      28 0.82 0.68 0.32   1
## nice            22 0.81 0.66 0.34   1
## tasteful        30 0.81 0.65 0.35   1
## pleasing        24 0.80 0.65 0.35   1
## delightful      10 0.79 0.62 0.38   1
## inviting        18 0.78 0.61 0.39   1
## pretty          25 0.76 0.58 0.42   1
## beautiful        5 0.76 0.57 0.43   1
## motivating      21 0.75 0.56 0.44   1
## lovely          20 0.74 0.54 0.46   1
## engaging        12 0.74 0.54 0.46   1
## wellDesigned    31 0.73 0.53 0.47   1
## fascinating     15 0.72 0.51 0.49   1
## elegant         11 0.71 0.50 0.50   1
## exciting        14 0.70 0.49 0.51   1
## harmonious      16 0.69 0.48 0.52   1
## sophisticated   29 0.66 0.43 0.57   1
## balanced         4 0.65 0.42 0.58   1
## creative         9 0.62 0.39 0.61   1
## interesting     17 0.61 0.37 0.63   1
## clean            6 0.60 0.36 0.64   1
## organized       23 0.59 0.35 0.65   1
## artistic         2 0.56 0.32 0.68   1
## professional    26 0.50 0.25 0.75   1
## colorHarmonious  8 0.43 0.19 0.81   1
## cluttered        7 0.41 0.17 0.83   1
## provoking       27 0.32 0.10 0.90   1
## 
##                  PA1
## SS loadings    15.38
## Proportion Var  0.50
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  25.71
## The degrees of freedom for the model are 434  and the objective function was  6.37 
## 
## The root mean square of the residuals (RMSR) is  0.07 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.97
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2   h2   u2 com
## attractive         3 0.75 0.42 0.74 0.26 1.6
## pretty            25 0.75 0.30 0.65 0.35 1.3
## artistic           2 0.74 0.01 0.54 0.46 1.0
## creative           9 0.70 0.14 0.51 0.49 1.1
## beautiful          5 0.69 0.36 0.60 0.40 1.5
## fascinating       15 0.69 0.30 0.56 0.44 1.4
## enjoyable         13 0.68 0.50 0.71 0.29 1.8
## exciting          14 0.68 0.28 0.54 0.46 1.3
## appealing          1 0.67 0.52 0.72 0.28 1.9
## delightful        10 0.67 0.43 0.63 0.37 1.7
## likable           19 0.67 0.51 0.71 0.29 1.9
## lovely            20 0.65 0.38 0.56 0.44 1.6
## inviting          18 0.64 0.45 0.62 0.38 1.8
## nice              22 0.64 0.50 0.66 0.34 1.9
## engaging          12 0.63 0.40 0.55 0.45 1.7
## motivating        21 0.62 0.43 0.57 0.43 1.8
## pleasing          24 0.58 0.55 0.65 0.35 2.0
## interesting       17 0.57 0.26 0.40 0.60 1.4
## provoking         27 0.35 0.08 0.13 0.87 1.1
## clean              6 0.14 0.78 0.63 0.37 1.1
## professional      26 0.05 0.73 0.54 0.46 1.0
## organized         23 0.18 0.71 0.53 0.47 1.1
## wellDesigned      31 0.38 0.68 0.61 0.39 1.6
## balanced           4 0.29 0.67 0.53 0.47 1.4
## harmonious        16 0.37 0.64 0.55 0.45 1.6
## satisfying        28 0.56 0.61 0.69 0.31 2.0
## tasteful          30 0.54 0.61 0.66 0.34 2.0
## elegant           11 0.44 0.58 0.53 0.47 1.9
## sophisticated     29 0.40 0.55 0.46 0.54 1.8
## cluttered          7 0.22 0.37 0.18 0.82 1.6
## colorHarmonious    8 0.30 0.32 0.19 0.81 2.0
## 
##                        PA1  PA2
## SS loadings           9.70 7.45
## Proportion Var        0.31 0.24
## Cumulative Var        0.31 0.55
## Proportion Explained  0.57 0.43
## Cumulative Proportion 0.57 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  25.71
## The degrees of freedom for the model are 404  and the objective function was  4.59 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.93
## Multiple R square of scores with factors          0.90 0.87
## Minimum correlation of possible factor scores     0.81 0.74
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## artistic           2  0.97 -0.40 0.54 0.46 1.3
## creative           9  0.85 -0.20 0.51 0.49 1.1
## pretty            25  0.82 -0.03 0.65 0.35 1.0
## attractive         3  0.76  0.13 0.74 0.26 1.1
## exciting          14  0.75 -0.02 0.54 0.46 1.0
## fascinating       15  0.74  0.01 0.56 0.44 1.0
## beautiful          5  0.71  0.09 0.60 0.40 1.0
## delightful        10  0.64  0.20 0.63 0.37 1.2
## lovely            20  0.64  0.14 0.56 0.44 1.1
## enjoyable         13  0.62  0.28 0.71 0.29 1.4
## interesting       17  0.61  0.03 0.40 0.60 1.0
## engaging          12  0.61  0.18 0.55 0.45 1.2
## inviting          18  0.60  0.23 0.62 0.38 1.3
## likable           19  0.60  0.30 0.71 0.29 1.5
## appealing          1  0.59  0.31 0.72 0.28 1.5
## motivating        21  0.58  0.22 0.57 0.43 1.3
## nice              22  0.57  0.30 0.66 0.34 1.5
## pleasing          24  0.47  0.40 0.65 0.35 2.0
## provoking         27  0.42 -0.10 0.13 0.87 1.1
## clean              6 -0.25  0.95 0.63 0.37 1.1
## professional      26 -0.34  0.94 0.54 0.46 1.3
## organized         23 -0.15  0.83 0.53 0.47 1.1
## balanced           4  0.01  0.72 0.53 0.47 1.0
## wellDesigned      31  0.12  0.69 0.61 0.39 1.1
## harmonious        16  0.13  0.64 0.55 0.45 1.1
## elegant           11  0.26  0.52 0.53 0.47 1.5
## sophisticated     29  0.22  0.50 0.46 0.54 1.4
## tasteful          30  0.38  0.50 0.66 0.34 1.9
## satisfying        28  0.40  0.49 0.69 0.31 1.9
## cluttered          7  0.09  0.36 0.18 0.82 1.1
## colorHarmonious    8  0.21  0.26 0.19 0.81 1.9
## 
##                         PA1  PA2
## SS loadings           10.21 6.94
## Proportion Var         0.33 0.22
## Cumulative Var         0.33 0.55
## Proportion Explained   0.60 0.40
## Cumulative Proportion  0.60 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.72
## PA2 0.72 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  25.71
## The degrees of freedom for the model are 404  and the objective function was  4.59 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.92 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1   h2   u2 com
## appealing        1 0.85 0.72 0.28   1
## attractive       3 0.84 0.71 0.29   1
## enjoyable       13 0.84 0.71 0.29   1
## likable         19 0.84 0.71 0.29   1
## satisfying      28 0.82 0.68 0.32   1
## nice            22 0.81 0.66 0.34   1
## tasteful        30 0.81 0.65 0.35   1
## pleasing        24 0.80 0.65 0.35   1
## delightful      10 0.79 0.62 0.38   1
## inviting        18 0.78 0.61 0.39   1
## pretty          25 0.76 0.58 0.42   1
## beautiful        5 0.76 0.57 0.43   1
## motivating      21 0.75 0.56 0.44   1
## lovely          20 0.74 0.54 0.46   1
## engaging        12 0.74 0.54 0.46   1
## wellDesigned    31 0.73 0.53 0.47   1
## fascinating     15 0.72 0.51 0.49   1
## elegant         11 0.71 0.50 0.50   1
## exciting        14 0.70 0.49 0.51   1
## harmonious      16 0.69 0.48 0.52   1
## sophisticated   29 0.66 0.43 0.57   1
## balanced         4 0.65 0.42 0.58   1
## creative         9 0.62 0.39 0.61   1
## interesting     17 0.61 0.37 0.63   1
## clean            6 0.60 0.36 0.64   1
## organized       23 0.59 0.35 0.65   1
## artistic         2 0.56 0.32 0.68   1
## professional    26 0.50 0.25 0.75   1
## colorHarmonious  8 0.43 0.19 0.81   1
## cluttered        7 0.41 0.17 0.83   1
## provoking       27 0.32 0.10 0.90   1
## 
##                  PA1
## SS loadings    15.38
## Proportion Var  0.50
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  25.71
## The degrees of freedom for the model are 434  and the objective function was  6.37 
## 
## The root mean square of the residuals (RMSR) is  0.07 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.97
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2   h2   u2 com
## attractive         3 0.75 0.42 0.74 0.26 1.6
## pretty            25 0.75 0.30 0.65 0.35 1.3
## artistic           2 0.74 0.01 0.54 0.46 1.0
## creative           9 0.70 0.14 0.51 0.49 1.1
## beautiful          5 0.69 0.36 0.60 0.40 1.5
## fascinating       15 0.69 0.30 0.56 0.44 1.4
## enjoyable         13 0.68 0.50 0.71 0.29 1.8
## exciting          14 0.68 0.28 0.54 0.46 1.3
## appealing          1 0.67 0.52 0.72 0.28 1.9
## delightful        10 0.67 0.43 0.63 0.37 1.7
## likable           19 0.67 0.51 0.71 0.29 1.9
## lovely            20 0.65 0.38 0.56 0.44 1.6
## inviting          18 0.64 0.45 0.62 0.38 1.8
## nice              22 0.64 0.50 0.66 0.34 1.9
## engaging          12 0.63 0.40 0.55 0.45 1.7
## motivating        21 0.62 0.43 0.57 0.43 1.8
## pleasing          24 0.58 0.55 0.65 0.35 2.0
## interesting       17 0.57 0.26 0.40 0.60 1.4
## provoking         27 0.35 0.08 0.13 0.87 1.1
## clean              6 0.14 0.78 0.63 0.37 1.1
## professional      26 0.05 0.73 0.54 0.46 1.0
## organized         23 0.18 0.71 0.53 0.47 1.1
## wellDesigned      31 0.38 0.68 0.61 0.39 1.6
## balanced           4 0.29 0.67 0.53 0.47 1.4
## harmonious        16 0.37 0.64 0.55 0.45 1.6
## satisfying        28 0.56 0.61 0.69 0.31 2.0
## tasteful          30 0.54 0.61 0.66 0.34 2.0
## elegant           11 0.44 0.58 0.53 0.47 1.9
## sophisticated     29 0.40 0.55 0.46 0.54 1.8
## cluttered          7 0.22 0.37 0.18 0.82 1.6
## colorHarmonious    8 0.30 0.32 0.19 0.81 2.0
## 
##                        PA1  PA2
## SS loadings           9.70 7.45
## Proportion Var        0.31 0.24
## Cumulative Var        0.31 0.55
## Proportion Explained  0.57 0.43
## Cumulative Proportion 0.57 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  25.71
## The degrees of freedom for the model are 404  and the objective function was  4.59 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.93
## Multiple R square of scores with factors          0.90 0.87
## Minimum correlation of possible factor scores     0.81 0.74
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## artistic           2  0.97 -0.40 0.54 0.46 1.3
## creative           9  0.85 -0.20 0.51 0.49 1.1
## pretty            25  0.82 -0.03 0.65 0.35 1.0
## attractive         3  0.76  0.13 0.74 0.26 1.1
## exciting          14  0.75 -0.02 0.54 0.46 1.0
## fascinating       15  0.74  0.01 0.56 0.44 1.0
## beautiful          5  0.71  0.09 0.60 0.40 1.0
## delightful        10  0.64  0.20 0.63 0.37 1.2
## lovely            20  0.64  0.14 0.56 0.44 1.1
## enjoyable         13  0.62  0.28 0.71 0.29 1.4
## interesting       17  0.61  0.03 0.40 0.60 1.0
## engaging          12  0.61  0.18 0.55 0.45 1.2
## inviting          18  0.60  0.23 0.62 0.38 1.3
## likable           19  0.60  0.30 0.71 0.29 1.5
## appealing          1  0.59  0.31 0.72 0.28 1.5
## motivating        21  0.58  0.22 0.57 0.43 1.3
## nice              22  0.57  0.30 0.66 0.34 1.5
## pleasing          24  0.47  0.40 0.65 0.35 2.0
## provoking         27  0.42 -0.10 0.13 0.87 1.1
## clean              6 -0.25  0.95 0.63 0.37 1.1
## professional      26 -0.34  0.94 0.54 0.46 1.3
## organized         23 -0.15  0.83 0.53 0.47 1.1
## balanced           4  0.01  0.72 0.53 0.47 1.0
## wellDesigned      31  0.12  0.69 0.61 0.39 1.1
## harmonious        16  0.13  0.64 0.55 0.45 1.1
## elegant           11  0.26  0.52 0.53 0.47 1.5
## sophisticated     29  0.22  0.50 0.46 0.54 1.4
## tasteful          30  0.38  0.50 0.66 0.34 1.9
## satisfying        28  0.40  0.49 0.69 0.31 1.9
## cluttered          7  0.09  0.36 0.18 0.82 1.1
## colorHarmonious    8  0.21  0.26 0.19 0.81 1.9
## 
##                         PA1  PA2
## SS loadings           10.21 6.94
## Proportion Var         0.33 0.22
## Cumulative Var         0.33 0.55
## Proportion Explained   0.60 0.40
## Cumulative Proportion  0.60 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.72
## PA2 0.72 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  25.71
## The degrees of freedom for the model are 404  and the objective function was  4.59 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.92 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1   h2   u2 com
## appealing        1 0.85 0.72 0.28   1
## attractive       3 0.84 0.71 0.29   1
## enjoyable       13 0.84 0.71 0.29   1
## likable         19 0.84 0.71 0.29   1
## satisfying      28 0.82 0.68 0.32   1
## nice            22 0.81 0.66 0.34   1
## tasteful        30 0.81 0.65 0.35   1
## pleasing        24 0.80 0.65 0.35   1
## delightful      10 0.79 0.62 0.38   1
## inviting        18 0.78 0.61 0.39   1
## pretty          25 0.76 0.58 0.42   1
## beautiful        5 0.76 0.57 0.43   1
## motivating      21 0.75 0.56 0.44   1
## lovely          20 0.74 0.54 0.46   1
## engaging        12 0.74 0.54 0.46   1
## wellDesigned    31 0.73 0.53 0.47   1
## fascinating     15 0.72 0.51 0.49   1
## elegant         11 0.71 0.50 0.50   1
## exciting        14 0.70 0.49 0.51   1
## harmonious      16 0.69 0.48 0.52   1
## sophisticated   29 0.66 0.43 0.57   1
## balanced         4 0.65 0.42 0.58   1
## creative         9 0.62 0.39 0.61   1
## interesting     17 0.61 0.37 0.63   1
## clean            6 0.60 0.36 0.64   1
## organized       23 0.59 0.35 0.65   1
## artistic         2 0.56 0.32 0.68   1
## professional    26 0.50 0.25 0.75   1
## colorHarmonious  8 0.43 0.19 0.81   1
## cluttered        7 0.41 0.17 0.83   1
## provoking       27 0.32 0.10 0.90   1
## 
##                  PA1
## SS loadings    15.38
## Proportion Var  0.50
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  25.71
## The degrees of freedom for the model are 434  and the objective function was  6.37 
## 
## The root mean square of the residuals (RMSR) is  0.07 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.97
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2   h2   u2 com
## attractive         3 0.75 0.42 0.74 0.26 1.6
## pretty            25 0.75 0.30 0.65 0.35 1.3
## artistic           2 0.74 0.01 0.54 0.46 1.0
## creative           9 0.70 0.14 0.51 0.49 1.1
## beautiful          5 0.69 0.36 0.60 0.40 1.5
## fascinating       15 0.69 0.30 0.56 0.44 1.4
## enjoyable         13 0.68 0.50 0.71 0.29 1.8
## exciting          14 0.68 0.28 0.54 0.46 1.3
## appealing          1 0.67 0.52 0.72 0.28 1.9
## delightful        10 0.67 0.43 0.63 0.37 1.7
## likable           19 0.67 0.51 0.71 0.29 1.9
## lovely            20 0.65 0.38 0.56 0.44 1.6
## inviting          18 0.64 0.45 0.62 0.38 1.8
## nice              22 0.64 0.50 0.66 0.34 1.9
## engaging          12 0.63 0.40 0.55 0.45 1.7
## motivating        21 0.62 0.43 0.57 0.43 1.8
## pleasing          24 0.58 0.55 0.65 0.35 2.0
## interesting       17 0.57 0.26 0.40 0.60 1.4
## provoking         27 0.35 0.08 0.13 0.87 1.1
## clean              6 0.14 0.78 0.63 0.37 1.1
## professional      26 0.05 0.73 0.54 0.46 1.0
## organized         23 0.18 0.71 0.53 0.47 1.1
## wellDesigned      31 0.38 0.68 0.61 0.39 1.6
## balanced           4 0.29 0.67 0.53 0.47 1.4
## harmonious        16 0.37 0.64 0.55 0.45 1.6
## satisfying        28 0.56 0.61 0.69 0.31 2.0
## tasteful          30 0.54 0.61 0.66 0.34 2.0
## elegant           11 0.44 0.58 0.53 0.47 1.9
## sophisticated     29 0.40 0.55 0.46 0.54 1.8
## cluttered          7 0.22 0.37 0.18 0.82 1.6
## colorHarmonious    8 0.30 0.32 0.19 0.81 2.0
## 
##                        PA1  PA2
## SS loadings           9.70 7.45
## Proportion Var        0.31 0.24
## Cumulative Var        0.31 0.55
## Proportion Explained  0.57 0.43
## Cumulative Proportion 0.57 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  25.71
## The degrees of freedom for the model are 404  and the objective function was  4.59 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.93
## Multiple R square of scores with factors          0.90 0.87
## Minimum correlation of possible factor scores     0.81 0.74
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## artistic           2  0.97 -0.40 0.54 0.46 1.3
## creative           9  0.85 -0.20 0.51 0.49 1.1
## pretty            25  0.82 -0.03 0.65 0.35 1.0
## attractive         3  0.76  0.13 0.74 0.26 1.1
## exciting          14  0.75 -0.02 0.54 0.46 1.0
## fascinating       15  0.74  0.01 0.56 0.44 1.0
## beautiful          5  0.71  0.09 0.60 0.40 1.0
## delightful        10  0.64  0.20 0.63 0.37 1.2
## lovely            20  0.64  0.14 0.56 0.44 1.1
## enjoyable         13  0.62  0.28 0.71 0.29 1.4
## interesting       17  0.61  0.03 0.40 0.60 1.0
## engaging          12  0.61  0.18 0.55 0.45 1.2
## inviting          18  0.60  0.23 0.62 0.38 1.3
## likable           19  0.60  0.30 0.71 0.29 1.5
## appealing          1  0.59  0.31 0.72 0.28 1.5
## motivating        21  0.58  0.22 0.57 0.43 1.3
## nice              22  0.57  0.30 0.66 0.34 1.5
## pleasing          24  0.47  0.40 0.65 0.35 2.0
## provoking         27  0.42 -0.10 0.13 0.87 1.1
## clean              6 -0.25  0.95 0.63 0.37 1.1
## professional      26 -0.34  0.94 0.54 0.46 1.3
## organized         23 -0.15  0.83 0.53 0.47 1.1
## balanced           4  0.01  0.72 0.53 0.47 1.0
## wellDesigned      31  0.12  0.69 0.61 0.39 1.1
## harmonious        16  0.13  0.64 0.55 0.45 1.1
## elegant           11  0.26  0.52 0.53 0.47 1.5
## sophisticated     29  0.22  0.50 0.46 0.54 1.4
## tasteful          30  0.38  0.50 0.66 0.34 1.9
## satisfying        28  0.40  0.49 0.69 0.31 1.9
## cluttered          7  0.09  0.36 0.18 0.82 1.1
## colorHarmonious    8  0.21  0.26 0.19 0.81 1.9
## 
##                         PA1  PA2
## SS loadings           10.21 6.94
## Proportion Var         0.33 0.22
## Cumulative Var         0.33 0.55
## Proportion Explained   0.60 0.40
## Cumulative Proportion  0.60 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.72
## PA2 0.72 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  25.71
## The degrees of freedom for the model are 404  and the objective function was  4.59 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.92 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1   h2   u2 com
## appealing        1 0.85 0.72 0.28   1
## attractive       3 0.84 0.71 0.29   1
## enjoyable       13 0.84 0.71 0.29   1
## likable         19 0.84 0.71 0.29   1
## satisfying      28 0.82 0.68 0.32   1
## nice            22 0.81 0.66 0.34   1
## tasteful        30 0.81 0.65 0.35   1
## pleasing        24 0.80 0.65 0.35   1
## delightful      10 0.79 0.62 0.38   1
## inviting        18 0.78 0.61 0.39   1
## pretty          25 0.76 0.58 0.42   1
## beautiful        5 0.76 0.57 0.43   1
## motivating      21 0.75 0.56 0.44   1
## lovely          20 0.74 0.54 0.46   1
## engaging        12 0.74 0.54 0.46   1
## wellDesigned    31 0.73 0.53 0.47   1
## fascinating     15 0.72 0.51 0.49   1
## elegant         11 0.71 0.50 0.50   1
## exciting        14 0.70 0.49 0.51   1
## harmonious      16 0.69 0.48 0.52   1
## sophisticated   29 0.66 0.43 0.57   1
## balanced         4 0.65 0.42 0.58   1
## creative         9 0.62 0.39 0.61   1
## interesting     17 0.61 0.37 0.63   1
## clean            6 0.60 0.36 0.64   1
## organized       23 0.59 0.35 0.65   1
## artistic         2 0.56 0.32 0.68   1
## professional    26 0.50 0.25 0.75   1
## colorHarmonious  8 0.43 0.19 0.81   1
## cluttered        7 0.41 0.17 0.83   1
## provoking       27 0.32 0.10 0.90   1
## 
##                  PA1
## SS loadings    15.38
## Proportion Var  0.50
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  25.71
## The degrees of freedom for the model are 434  and the objective function was  6.37 
## 
## The root mean square of the residuals (RMSR) is  0.07 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.97
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2   h2   u2 com
## attractive         3 0.75 0.42 0.74 0.26 1.6
## pretty            25 0.75 0.30 0.65 0.35 1.3
## artistic           2 0.74 0.01 0.54 0.46 1.0
## creative           9 0.70 0.14 0.51 0.49 1.1
## beautiful          5 0.69 0.36 0.60 0.40 1.5
## fascinating       15 0.69 0.30 0.56 0.44 1.4
## enjoyable         13 0.68 0.50 0.71 0.29 1.8
## exciting          14 0.68 0.28 0.54 0.46 1.3
## appealing          1 0.67 0.52 0.72 0.28 1.9
## delightful        10 0.67 0.43 0.63 0.37 1.7
## likable           19 0.67 0.51 0.71 0.29 1.9
## lovely            20 0.65 0.38 0.56 0.44 1.6
## inviting          18 0.64 0.45 0.62 0.38 1.8
## nice              22 0.64 0.50 0.66 0.34 1.9
## engaging          12 0.63 0.40 0.55 0.45 1.7
## motivating        21 0.62 0.43 0.57 0.43 1.8
## pleasing          24 0.58 0.55 0.65 0.35 2.0
## interesting       17 0.57 0.26 0.40 0.60 1.4
## provoking         27 0.35 0.08 0.13 0.87 1.1
## clean              6 0.14 0.78 0.63 0.37 1.1
## professional      26 0.05 0.73 0.54 0.46 1.0
## organized         23 0.18 0.71 0.53 0.47 1.1
## wellDesigned      31 0.38 0.68 0.61 0.39 1.6
## balanced           4 0.29 0.67 0.53 0.47 1.4
## harmonious        16 0.37 0.64 0.55 0.45 1.6
## satisfying        28 0.56 0.61 0.69 0.31 2.0
## tasteful          30 0.54 0.61 0.66 0.34 2.0
## elegant           11 0.44 0.58 0.53 0.47 1.9
## sophisticated     29 0.40 0.55 0.46 0.54 1.8
## cluttered          7 0.22 0.37 0.18 0.82 1.6
## colorHarmonious    8 0.30 0.32 0.19 0.81 2.0
## 
##                        PA1  PA2
## SS loadings           9.70 7.45
## Proportion Var        0.31 0.24
## Cumulative Var        0.31 0.55
## Proportion Explained  0.57 0.43
## Cumulative Proportion 0.57 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  25.71
## The degrees of freedom for the model are 404  and the objective function was  4.59 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.93
## Multiple R square of scores with factors          0.90 0.87
## Minimum correlation of possible factor scores     0.81 0.74
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## artistic           2  0.97 -0.40 0.54 0.46 1.3
## creative           9  0.85 -0.20 0.51 0.49 1.1
## pretty            25  0.82 -0.03 0.65 0.35 1.0
## attractive         3  0.76  0.13 0.74 0.26 1.1
## exciting          14  0.75 -0.02 0.54 0.46 1.0
## fascinating       15  0.74  0.01 0.56 0.44 1.0
## beautiful          5  0.71  0.09 0.60 0.40 1.0
## delightful        10  0.64  0.20 0.63 0.37 1.2
## lovely            20  0.64  0.14 0.56 0.44 1.1
## enjoyable         13  0.62  0.28 0.71 0.29 1.4
## interesting       17  0.61  0.03 0.40 0.60 1.0
## engaging          12  0.61  0.18 0.55 0.45 1.2
## inviting          18  0.60  0.23 0.62 0.38 1.3
## likable           19  0.60  0.30 0.71 0.29 1.5
## appealing          1  0.59  0.31 0.72 0.28 1.5
## motivating        21  0.58  0.22 0.57 0.43 1.3
## nice              22  0.57  0.30 0.66 0.34 1.5
## pleasing          24  0.47  0.40 0.65 0.35 2.0
## provoking         27  0.42 -0.10 0.13 0.87 1.1
## clean              6 -0.25  0.95 0.63 0.37 1.1
## professional      26 -0.34  0.94 0.54 0.46 1.3
## organized         23 -0.15  0.83 0.53 0.47 1.1
## balanced           4  0.01  0.72 0.53 0.47 1.0
## wellDesigned      31  0.12  0.69 0.61 0.39 1.1
## harmonious        16  0.13  0.64 0.55 0.45 1.1
## elegant           11  0.26  0.52 0.53 0.47 1.5
## sophisticated     29  0.22  0.50 0.46 0.54 1.4
## tasteful          30  0.38  0.50 0.66 0.34 1.9
## satisfying        28  0.40  0.49 0.69 0.31 1.9
## cluttered          7  0.09  0.36 0.18 0.82 1.1
## colorHarmonious    8  0.21  0.26 0.19 0.81 1.9
## 
##                         PA1  PA2
## SS loadings           10.21 6.94
## Proportion Var         0.33 0.22
## Cumulative Var         0.33 0.55
## Proportion Explained   0.60 0.40
## Cumulative Proportion  0.60 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.72
## PA2 0.72 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  25.71
## The degrees of freedom for the model are 404  and the objective function was  4.59 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.05 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.94
## Minimum correlation of possible factor scores     0.92 0.88
## 
## 
## ## Image  10

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## appealing        1 0.88 0.772 0.23   1
## pleasing        24 0.88 0.770 0.23   1
## enjoyable       13 0.87 0.755 0.25   1
## likable         19 0.86 0.736 0.26   1
## attractive       3 0.86 0.733 0.27   1
## nice            22 0.85 0.718 0.28   1
## satisfying      28 0.85 0.717 0.28   1
## elegant         11 0.84 0.707 0.29   1
## beautiful        5 0.82 0.678 0.32   1
## delightful      10 0.82 0.670 0.33   1
## lovely          20 0.81 0.661 0.34   1
## tasteful        30 0.80 0.642 0.36   1
## pretty          25 0.80 0.642 0.36   1
## harmonious      16 0.80 0.638 0.36   1
## inviting        18 0.78 0.613 0.39   1
## balanced         4 0.77 0.599 0.40   1
## motivating      21 0.77 0.595 0.40   1
## exciting        14 0.77 0.586 0.41   1
## engaging        12 0.76 0.578 0.42   1
## wellDesigned    31 0.74 0.546 0.45   1
## creative         9 0.68 0.464 0.54   1
## clean            6 0.68 0.458 0.54   1
## artistic         2 0.66 0.439 0.56   1
## fascinating     15 0.66 0.436 0.56   1
## organized       23 0.66 0.433 0.57   1
## interesting     17 0.64 0.412 0.59   1
## sophisticated   29 0.63 0.395 0.61   1
## colorHarmonious  8 0.62 0.379 0.62   1
## professional    26 0.61 0.375 0.62   1
## cluttered        7 0.45 0.199 0.80   1
## provoking       27 0.27 0.075 0.92   1
## 
##                  PA1
## SS loadings    17.42
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.01
## The degrees of freedom for the model are 434  and the objective function was  5.16 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2   h2   u2 com
## organized         23 0.78 0.13 0.62 0.38 1.1
## clean              6 0.75 0.19 0.60 0.40 1.1
## wellDesigned      31 0.74 0.29 0.63 0.37 1.3
## balanced           4 0.72 0.36 0.65 0.35 1.5
## inviting          18 0.68 0.41 0.64 0.36 1.6
## elegant           11 0.68 0.51 0.71 0.29 1.9
## harmonious        16 0.67 0.45 0.65 0.35 1.8
## nice              22 0.66 0.54 0.72 0.28 1.9
## lovely            20 0.65 0.50 0.66 0.34 1.9
## pleasing          24 0.63 0.61 0.77 0.23 2.0
## tasteful          30 0.62 0.51 0.64 0.36 1.9
## professional      26 0.62 0.24 0.43 0.57 1.3
## delightful        10 0.61 0.54 0.67 0.33 2.0
## motivating        21 0.60 0.49 0.60 0.40 1.9
## engaging          12 0.55 0.52 0.58 0.42 2.0
## sophisticated     29 0.54 0.34 0.41 0.59 1.7
## colorHarmonious    8 0.50 0.36 0.38 0.62 1.8
## cluttered          7 0.47 0.15 0.24 0.76 1.2
## artistic           2 0.24 0.72 0.59 0.41 1.2
## exciting          14 0.40 0.70 0.65 0.35 1.6
## pretty            25 0.47 0.68 0.68 0.32 1.8
## appealing          1 0.57 0.68 0.79 0.21 1.9
## attractive         3 0.55 0.67 0.75 0.25 1.9
## creative           9 0.32 0.67 0.54 0.46 1.4
## enjoyable         13 0.57 0.66 0.76 0.24 2.0
## beautiful          5 0.54 0.63 0.69 0.31 1.9
## fascinating       15 0.32 0.63 0.50 0.50 1.5
## interesting       17 0.31 0.62 0.48 0.52 1.5
## likable           19 0.60 0.61 0.74 0.26 2.0
## satisfying        28 0.60 0.60 0.72 0.28 2.0
## provoking         27 0.00 0.41 0.17 0.83 1.0
## 
##                         PA1  PA2
## SS loadings           10.13 8.53
## Proportion Var         0.33 0.28
## Cumulative Var         0.33 0.60
## Proportion Explained   0.54 0.46
## Cumulative Proportion  0.54 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.01
## The degrees of freedom for the model are 404  and the objective function was  3.94 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.93 0.92
## Multiple R square of scores with factors          0.87 0.85
## Minimum correlation of possible factor scores     0.75 0.71
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## organized         23  0.99 -0.31 0.62 0.38 1.2
## clean              6  0.92 -0.21 0.60 0.40 1.1
## wellDesigned      31  0.85 -0.07 0.63 0.37 1.0
## balanced           4  0.77  0.04 0.65 0.35 1.0
## professional      26  0.70 -0.06 0.43 0.57 1.0
## inviting          18  0.68  0.14 0.64 0.36 1.1
## harmonious        16  0.64  0.20 0.65 0.35 1.2
## elegant           11  0.62  0.28 0.71 0.29 1.4
## lovely            20  0.58  0.28 0.66 0.34 1.4
## nice              22  0.57  0.33 0.72 0.28 1.6
## cluttered          7  0.55 -0.09 0.24 0.76 1.1
## tasteful          30  0.54  0.31 0.64 0.36 1.6
## sophisticated     29  0.54  0.13 0.41 0.59 1.1
## motivating        21  0.52  0.30 0.60 0.40 1.6
## delightful        10  0.51  0.36 0.67 0.33 1.8
## pleasing          24  0.49  0.44 0.77 0.23 2.0
## colorHarmonious    8  0.46  0.19 0.38 0.62 1.3
## engaging          12  0.43  0.38 0.58 0.42 2.0
## artistic           2 -0.12  0.85 0.59 0.41 1.0
## creative           9  0.02  0.72 0.54 0.46 1.0
## exciting          14  0.11  0.72 0.65 0.35 1.0
## fascinating       15  0.05  0.67 0.50 0.50 1.0
## interesting       17  0.03  0.67 0.48 0.52 1.0
## pretty            25  0.22  0.65 0.68 0.32 1.2
## appealing          1  0.36  0.58 0.79 0.21 1.7
## provoking         27 -0.27  0.58 0.17 0.83 1.4
## attractive         3  0.34  0.58 0.75 0.25 1.6
## enjoyable         13  0.38  0.55 0.76 0.24 1.8
## beautiful          5  0.34  0.54 0.69 0.31 1.7
## likable           19  0.45  0.47 0.74 0.26 2.0
## satisfying        28  0.44  0.46 0.72 0.28 2.0
## 
##                         PA1  PA2
## SS loadings           10.52 8.14
## Proportion Var         0.34 0.26
## Cumulative Var         0.34 0.60
## Proportion Explained   0.56 0.44
## Cumulative Proportion  0.56 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.76
## PA2 0.76 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.01
## The degrees of freedom for the model are 404  and the objective function was  3.94 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.95
## Minimum correlation of possible factor scores     0.92 0.89

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## appealing        1 0.88 0.772 0.23   1
## pleasing        24 0.88 0.770 0.23   1
## enjoyable       13 0.87 0.755 0.25   1
## likable         19 0.86 0.736 0.26   1
## attractive       3 0.86 0.733 0.27   1
## nice            22 0.85 0.718 0.28   1
## satisfying      28 0.85 0.717 0.28   1
## elegant         11 0.84 0.707 0.29   1
## beautiful        5 0.82 0.678 0.32   1
## delightful      10 0.82 0.670 0.33   1
## lovely          20 0.81 0.661 0.34   1
## tasteful        30 0.80 0.642 0.36   1
## pretty          25 0.80 0.642 0.36   1
## harmonious      16 0.80 0.638 0.36   1
## inviting        18 0.78 0.613 0.39   1
## balanced         4 0.77 0.599 0.40   1
## motivating      21 0.77 0.595 0.40   1
## exciting        14 0.77 0.586 0.41   1
## engaging        12 0.76 0.578 0.42   1
## wellDesigned    31 0.74 0.546 0.45   1
## creative         9 0.68 0.464 0.54   1
## clean            6 0.68 0.458 0.54   1
## artistic         2 0.66 0.439 0.56   1
## fascinating     15 0.66 0.436 0.56   1
## organized       23 0.66 0.433 0.57   1
## interesting     17 0.64 0.412 0.59   1
## sophisticated   29 0.63 0.395 0.61   1
## colorHarmonious  8 0.62 0.379 0.62   1
## professional    26 0.61 0.375 0.62   1
## cluttered        7 0.45 0.199 0.80   1
## provoking       27 0.27 0.075 0.92   1
## 
##                  PA1
## SS loadings    17.42
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.01
## The degrees of freedom for the model are 434  and the objective function was  5.16 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2   h2   u2 com
## organized         23 0.78 0.13 0.62 0.38 1.1
## clean              6 0.75 0.19 0.60 0.40 1.1
## wellDesigned      31 0.74 0.29 0.63 0.37 1.3
## balanced           4 0.72 0.36 0.65 0.35 1.5
## inviting          18 0.68 0.41 0.64 0.36 1.6
## elegant           11 0.68 0.51 0.71 0.29 1.9
## harmonious        16 0.67 0.45 0.65 0.35 1.8
## nice              22 0.66 0.54 0.72 0.28 1.9
## lovely            20 0.65 0.50 0.66 0.34 1.9
## pleasing          24 0.63 0.61 0.77 0.23 2.0
## tasteful          30 0.62 0.51 0.64 0.36 1.9
## professional      26 0.62 0.24 0.43 0.57 1.3
## delightful        10 0.61 0.54 0.67 0.33 2.0
## motivating        21 0.60 0.49 0.60 0.40 1.9
## engaging          12 0.55 0.52 0.58 0.42 2.0
## sophisticated     29 0.54 0.34 0.41 0.59 1.7
## colorHarmonious    8 0.50 0.36 0.38 0.62 1.8
## cluttered          7 0.47 0.15 0.24 0.76 1.2
## artistic           2 0.24 0.72 0.59 0.41 1.2
## exciting          14 0.40 0.70 0.65 0.35 1.6
## pretty            25 0.47 0.68 0.68 0.32 1.8
## appealing          1 0.57 0.68 0.79 0.21 1.9
## attractive         3 0.55 0.67 0.75 0.25 1.9
## creative           9 0.32 0.67 0.54 0.46 1.4
## enjoyable         13 0.57 0.66 0.76 0.24 2.0
## beautiful          5 0.54 0.63 0.69 0.31 1.9
## fascinating       15 0.32 0.63 0.50 0.50 1.5
## interesting       17 0.31 0.62 0.48 0.52 1.5
## likable           19 0.60 0.61 0.74 0.26 2.0
## satisfying        28 0.60 0.60 0.72 0.28 2.0
## provoking         27 0.00 0.41 0.17 0.83 1.0
## 
##                         PA1  PA2
## SS loadings           10.13 8.53
## Proportion Var         0.33 0.28
## Cumulative Var         0.33 0.60
## Proportion Explained   0.54 0.46
## Cumulative Proportion  0.54 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.01
## The degrees of freedom for the model are 404  and the objective function was  3.94 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.93 0.92
## Multiple R square of scores with factors          0.87 0.85
## Minimum correlation of possible factor scores     0.75 0.71
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## organized         23  0.99 -0.31 0.62 0.38 1.2
## clean              6  0.92 -0.21 0.60 0.40 1.1
## wellDesigned      31  0.85 -0.07 0.63 0.37 1.0
## balanced           4  0.77  0.04 0.65 0.35 1.0
## professional      26  0.70 -0.06 0.43 0.57 1.0
## inviting          18  0.68  0.14 0.64 0.36 1.1
## harmonious        16  0.64  0.20 0.65 0.35 1.2
## elegant           11  0.62  0.28 0.71 0.29 1.4
## lovely            20  0.58  0.28 0.66 0.34 1.4
## nice              22  0.57  0.33 0.72 0.28 1.6
## cluttered          7  0.55 -0.09 0.24 0.76 1.1
## tasteful          30  0.54  0.31 0.64 0.36 1.6
## sophisticated     29  0.54  0.13 0.41 0.59 1.1
## motivating        21  0.52  0.30 0.60 0.40 1.6
## delightful        10  0.51  0.36 0.67 0.33 1.8
## pleasing          24  0.49  0.44 0.77 0.23 2.0
## colorHarmonious    8  0.46  0.19 0.38 0.62 1.3
## engaging          12  0.43  0.38 0.58 0.42 2.0
## artistic           2 -0.12  0.85 0.59 0.41 1.0
## creative           9  0.02  0.72 0.54 0.46 1.0
## exciting          14  0.11  0.72 0.65 0.35 1.0
## fascinating       15  0.05  0.67 0.50 0.50 1.0
## interesting       17  0.03  0.67 0.48 0.52 1.0
## pretty            25  0.22  0.65 0.68 0.32 1.2
## appealing          1  0.36  0.58 0.79 0.21 1.7
## provoking         27 -0.27  0.58 0.17 0.83 1.4
## attractive         3  0.34  0.58 0.75 0.25 1.6
## enjoyable         13  0.38  0.55 0.76 0.24 1.8
## beautiful          5  0.34  0.54 0.69 0.31 1.7
## likable           19  0.45  0.47 0.74 0.26 2.0
## satisfying        28  0.44  0.46 0.72 0.28 2.0
## 
##                         PA1  PA2
## SS loadings           10.52 8.14
## Proportion Var         0.34 0.26
## Cumulative Var         0.34 0.60
## Proportion Explained   0.56 0.44
## Cumulative Proportion  0.56 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.76
## PA2 0.76 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.01
## The degrees of freedom for the model are 404  and the objective function was  3.94 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.95
## Minimum correlation of possible factor scores     0.92 0.89

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## appealing        1 0.88 0.772 0.23   1
## pleasing        24 0.88 0.770 0.23   1
## enjoyable       13 0.87 0.755 0.25   1
## likable         19 0.86 0.736 0.26   1
## attractive       3 0.86 0.733 0.27   1
## nice            22 0.85 0.718 0.28   1
## satisfying      28 0.85 0.717 0.28   1
## elegant         11 0.84 0.707 0.29   1
## beautiful        5 0.82 0.678 0.32   1
## delightful      10 0.82 0.670 0.33   1
## lovely          20 0.81 0.661 0.34   1
## tasteful        30 0.80 0.642 0.36   1
## pretty          25 0.80 0.642 0.36   1
## harmonious      16 0.80 0.638 0.36   1
## inviting        18 0.78 0.613 0.39   1
## balanced         4 0.77 0.599 0.40   1
## motivating      21 0.77 0.595 0.40   1
## exciting        14 0.77 0.586 0.41   1
## engaging        12 0.76 0.578 0.42   1
## wellDesigned    31 0.74 0.546 0.45   1
## creative         9 0.68 0.464 0.54   1
## clean            6 0.68 0.458 0.54   1
## artistic         2 0.66 0.439 0.56   1
## fascinating     15 0.66 0.436 0.56   1
## organized       23 0.66 0.433 0.57   1
## interesting     17 0.64 0.412 0.59   1
## sophisticated   29 0.63 0.395 0.61   1
## colorHarmonious  8 0.62 0.379 0.62   1
## professional    26 0.61 0.375 0.62   1
## cluttered        7 0.45 0.199 0.80   1
## provoking       27 0.27 0.075 0.92   1
## 
##                  PA1
## SS loadings    17.42
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.01
## The degrees of freedom for the model are 434  and the objective function was  5.16 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2   h2   u2 com
## organized         23 0.78 0.13 0.62 0.38 1.1
## clean              6 0.75 0.19 0.60 0.40 1.1
## wellDesigned      31 0.74 0.29 0.63 0.37 1.3
## balanced           4 0.72 0.36 0.65 0.35 1.5
## inviting          18 0.68 0.41 0.64 0.36 1.6
## elegant           11 0.68 0.51 0.71 0.29 1.9
## harmonious        16 0.67 0.45 0.65 0.35 1.8
## nice              22 0.66 0.54 0.72 0.28 1.9
## lovely            20 0.65 0.50 0.66 0.34 1.9
## pleasing          24 0.63 0.61 0.77 0.23 2.0
## tasteful          30 0.62 0.51 0.64 0.36 1.9
## professional      26 0.62 0.24 0.43 0.57 1.3
## delightful        10 0.61 0.54 0.67 0.33 2.0
## motivating        21 0.60 0.49 0.60 0.40 1.9
## engaging          12 0.55 0.52 0.58 0.42 2.0
## sophisticated     29 0.54 0.34 0.41 0.59 1.7
## colorHarmonious    8 0.50 0.36 0.38 0.62 1.8
## cluttered          7 0.47 0.15 0.24 0.76 1.2
## artistic           2 0.24 0.72 0.59 0.41 1.2
## exciting          14 0.40 0.70 0.65 0.35 1.6
## pretty            25 0.47 0.68 0.68 0.32 1.8
## appealing          1 0.57 0.68 0.79 0.21 1.9
## attractive         3 0.55 0.67 0.75 0.25 1.9
## creative           9 0.32 0.67 0.54 0.46 1.4
## enjoyable         13 0.57 0.66 0.76 0.24 2.0
## beautiful          5 0.54 0.63 0.69 0.31 1.9
## fascinating       15 0.32 0.63 0.50 0.50 1.5
## interesting       17 0.31 0.62 0.48 0.52 1.5
## likable           19 0.60 0.61 0.74 0.26 2.0
## satisfying        28 0.60 0.60 0.72 0.28 2.0
## provoking         27 0.00 0.41 0.17 0.83 1.0
## 
##                         PA1  PA2
## SS loadings           10.13 8.53
## Proportion Var         0.33 0.28
## Cumulative Var         0.33 0.60
## Proportion Explained   0.54 0.46
## Cumulative Proportion  0.54 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.01
## The degrees of freedom for the model are 404  and the objective function was  3.94 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.93 0.92
## Multiple R square of scores with factors          0.87 0.85
## Minimum correlation of possible factor scores     0.75 0.71
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## organized         23  0.99 -0.31 0.62 0.38 1.2
## clean              6  0.92 -0.21 0.60 0.40 1.1
## wellDesigned      31  0.85 -0.07 0.63 0.37 1.0
## balanced           4  0.77  0.04 0.65 0.35 1.0
## professional      26  0.70 -0.06 0.43 0.57 1.0
## inviting          18  0.68  0.14 0.64 0.36 1.1
## harmonious        16  0.64  0.20 0.65 0.35 1.2
## elegant           11  0.62  0.28 0.71 0.29 1.4
## lovely            20  0.58  0.28 0.66 0.34 1.4
## nice              22  0.57  0.33 0.72 0.28 1.6
## cluttered          7  0.55 -0.09 0.24 0.76 1.1
## tasteful          30  0.54  0.31 0.64 0.36 1.6
## sophisticated     29  0.54  0.13 0.41 0.59 1.1
## motivating        21  0.52  0.30 0.60 0.40 1.6
## delightful        10  0.51  0.36 0.67 0.33 1.8
## pleasing          24  0.49  0.44 0.77 0.23 2.0
## colorHarmonious    8  0.46  0.19 0.38 0.62 1.3
## engaging          12  0.43  0.38 0.58 0.42 2.0
## artistic           2 -0.12  0.85 0.59 0.41 1.0
## creative           9  0.02  0.72 0.54 0.46 1.0
## exciting          14  0.11  0.72 0.65 0.35 1.0
## fascinating       15  0.05  0.67 0.50 0.50 1.0
## interesting       17  0.03  0.67 0.48 0.52 1.0
## pretty            25  0.22  0.65 0.68 0.32 1.2
## appealing          1  0.36  0.58 0.79 0.21 1.7
## provoking         27 -0.27  0.58 0.17 0.83 1.4
## attractive         3  0.34  0.58 0.75 0.25 1.6
## enjoyable         13  0.38  0.55 0.76 0.24 1.8
## beautiful          5  0.34  0.54 0.69 0.31 1.7
## likable           19  0.45  0.47 0.74 0.26 2.0
## satisfying        28  0.44  0.46 0.72 0.28 2.0
## 
##                         PA1  PA2
## SS loadings           10.52 8.14
## Proportion Var         0.34 0.26
## Cumulative Var         0.34 0.60
## Proportion Explained   0.56 0.44
## Cumulative Proportion  0.56 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.76
## PA2 0.76 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.01
## The degrees of freedom for the model are 404  and the objective function was  3.94 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.95
## Minimum correlation of possible factor scores     0.92 0.89

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## appealing        1 0.88 0.772 0.23   1
## pleasing        24 0.88 0.770 0.23   1
## enjoyable       13 0.87 0.755 0.25   1
## likable         19 0.86 0.736 0.26   1
## attractive       3 0.86 0.733 0.27   1
## nice            22 0.85 0.718 0.28   1
## satisfying      28 0.85 0.717 0.28   1
## elegant         11 0.84 0.707 0.29   1
## beautiful        5 0.82 0.678 0.32   1
## delightful      10 0.82 0.670 0.33   1
## lovely          20 0.81 0.661 0.34   1
## tasteful        30 0.80 0.642 0.36   1
## pretty          25 0.80 0.642 0.36   1
## harmonious      16 0.80 0.638 0.36   1
## inviting        18 0.78 0.613 0.39   1
## balanced         4 0.77 0.599 0.40   1
## motivating      21 0.77 0.595 0.40   1
## exciting        14 0.77 0.586 0.41   1
## engaging        12 0.76 0.578 0.42   1
## wellDesigned    31 0.74 0.546 0.45   1
## creative         9 0.68 0.464 0.54   1
## clean            6 0.68 0.458 0.54   1
## artistic         2 0.66 0.439 0.56   1
## fascinating     15 0.66 0.436 0.56   1
## organized       23 0.66 0.433 0.57   1
## interesting     17 0.64 0.412 0.59   1
## sophisticated   29 0.63 0.395 0.61   1
## colorHarmonious  8 0.62 0.379 0.62   1
## professional    26 0.61 0.375 0.62   1
## cluttered        7 0.45 0.199 0.80   1
## provoking       27 0.27 0.075 0.92   1
## 
##                  PA1
## SS loadings    17.42
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.01
## The degrees of freedom for the model are 434  and the objective function was  5.16 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2   h2   u2 com
## organized         23 0.78 0.13 0.62 0.38 1.1
## clean              6 0.75 0.19 0.60 0.40 1.1
## wellDesigned      31 0.74 0.29 0.63 0.37 1.3
## balanced           4 0.72 0.36 0.65 0.35 1.5
## inviting          18 0.68 0.41 0.64 0.36 1.6
## elegant           11 0.68 0.51 0.71 0.29 1.9
## harmonious        16 0.67 0.45 0.65 0.35 1.8
## nice              22 0.66 0.54 0.72 0.28 1.9
## lovely            20 0.65 0.50 0.66 0.34 1.9
## pleasing          24 0.63 0.61 0.77 0.23 2.0
## tasteful          30 0.62 0.51 0.64 0.36 1.9
## professional      26 0.62 0.24 0.43 0.57 1.3
## delightful        10 0.61 0.54 0.67 0.33 2.0
## motivating        21 0.60 0.49 0.60 0.40 1.9
## engaging          12 0.55 0.52 0.58 0.42 2.0
## sophisticated     29 0.54 0.34 0.41 0.59 1.7
## colorHarmonious    8 0.50 0.36 0.38 0.62 1.8
## cluttered          7 0.47 0.15 0.24 0.76 1.2
## artistic           2 0.24 0.72 0.59 0.41 1.2
## exciting          14 0.40 0.70 0.65 0.35 1.6
## pretty            25 0.47 0.68 0.68 0.32 1.8
## appealing          1 0.57 0.68 0.79 0.21 1.9
## attractive         3 0.55 0.67 0.75 0.25 1.9
## creative           9 0.32 0.67 0.54 0.46 1.4
## enjoyable         13 0.57 0.66 0.76 0.24 2.0
## beautiful          5 0.54 0.63 0.69 0.31 1.9
## fascinating       15 0.32 0.63 0.50 0.50 1.5
## interesting       17 0.31 0.62 0.48 0.52 1.5
## likable           19 0.60 0.61 0.74 0.26 2.0
## satisfying        28 0.60 0.60 0.72 0.28 2.0
## provoking         27 0.00 0.41 0.17 0.83 1.0
## 
##                         PA1  PA2
## SS loadings           10.13 8.53
## Proportion Var         0.33 0.28
## Cumulative Var         0.33 0.60
## Proportion Explained   0.54 0.46
## Cumulative Proportion  0.54 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.01
## The degrees of freedom for the model are 404  and the objective function was  3.94 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.93 0.92
## Multiple R square of scores with factors          0.87 0.85
## Minimum correlation of possible factor scores     0.75 0.71
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## organized         23  0.99 -0.31 0.62 0.38 1.2
## clean              6  0.92 -0.21 0.60 0.40 1.1
## wellDesigned      31  0.85 -0.07 0.63 0.37 1.0
## balanced           4  0.77  0.04 0.65 0.35 1.0
## professional      26  0.70 -0.06 0.43 0.57 1.0
## inviting          18  0.68  0.14 0.64 0.36 1.1
## harmonious        16  0.64  0.20 0.65 0.35 1.2
## elegant           11  0.62  0.28 0.71 0.29 1.4
## lovely            20  0.58  0.28 0.66 0.34 1.4
## nice              22  0.57  0.33 0.72 0.28 1.6
## cluttered          7  0.55 -0.09 0.24 0.76 1.1
## tasteful          30  0.54  0.31 0.64 0.36 1.6
## sophisticated     29  0.54  0.13 0.41 0.59 1.1
## motivating        21  0.52  0.30 0.60 0.40 1.6
## delightful        10  0.51  0.36 0.67 0.33 1.8
## pleasing          24  0.49  0.44 0.77 0.23 2.0
## colorHarmonious    8  0.46  0.19 0.38 0.62 1.3
## engaging          12  0.43  0.38 0.58 0.42 2.0
## artistic           2 -0.12  0.85 0.59 0.41 1.0
## creative           9  0.02  0.72 0.54 0.46 1.0
## exciting          14  0.11  0.72 0.65 0.35 1.0
## fascinating       15  0.05  0.67 0.50 0.50 1.0
## interesting       17  0.03  0.67 0.48 0.52 1.0
## pretty            25  0.22  0.65 0.68 0.32 1.2
## appealing          1  0.36  0.58 0.79 0.21 1.7
## provoking         27 -0.27  0.58 0.17 0.83 1.4
## attractive         3  0.34  0.58 0.75 0.25 1.6
## enjoyable         13  0.38  0.55 0.76 0.24 1.8
## beautiful          5  0.34  0.54 0.69 0.31 1.7
## likable           19  0.45  0.47 0.74 0.26 2.0
## satisfying        28  0.44  0.46 0.72 0.28 2.0
## 
##                         PA1  PA2
## SS loadings           10.52 8.14
## Proportion Var         0.34 0.26
## Cumulative Var         0.34 0.60
## Proportion Explained   0.56 0.44
## Cumulative Proportion  0.56 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.76
## PA2 0.76 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.01
## The degrees of freedom for the model are 404  and the objective function was  3.94 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.95
## Minimum correlation of possible factor scores     0.92 0.89

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## appealing        1 0.88 0.772 0.23   1
## pleasing        24 0.88 0.770 0.23   1
## enjoyable       13 0.87 0.755 0.25   1
## likable         19 0.86 0.736 0.26   1
## attractive       3 0.86 0.733 0.27   1
## nice            22 0.85 0.718 0.28   1
## satisfying      28 0.85 0.717 0.28   1
## elegant         11 0.84 0.707 0.29   1
## beautiful        5 0.82 0.678 0.32   1
## delightful      10 0.82 0.670 0.33   1
## lovely          20 0.81 0.661 0.34   1
## tasteful        30 0.80 0.642 0.36   1
## pretty          25 0.80 0.642 0.36   1
## harmonious      16 0.80 0.638 0.36   1
## inviting        18 0.78 0.613 0.39   1
## balanced         4 0.77 0.599 0.40   1
## motivating      21 0.77 0.595 0.40   1
## exciting        14 0.77 0.586 0.41   1
## engaging        12 0.76 0.578 0.42   1
## wellDesigned    31 0.74 0.546 0.45   1
## creative         9 0.68 0.464 0.54   1
## clean            6 0.68 0.458 0.54   1
## artistic         2 0.66 0.439 0.56   1
## fascinating     15 0.66 0.436 0.56   1
## organized       23 0.66 0.433 0.57   1
## interesting     17 0.64 0.412 0.59   1
## sophisticated   29 0.63 0.395 0.61   1
## colorHarmonious  8 0.62 0.379 0.62   1
## professional    26 0.61 0.375 0.62   1
## cluttered        7 0.45 0.199 0.80   1
## provoking       27 0.27 0.075 0.92   1
## 
##                  PA1
## SS loadings    17.42
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.01
## The degrees of freedom for the model are 434  and the objective function was  5.16 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2   h2   u2 com
## organized         23 0.78 0.13 0.62 0.38 1.1
## clean              6 0.75 0.19 0.60 0.40 1.1
## wellDesigned      31 0.74 0.29 0.63 0.37 1.3
## balanced           4 0.72 0.36 0.65 0.35 1.5
## inviting          18 0.68 0.41 0.64 0.36 1.6
## elegant           11 0.68 0.51 0.71 0.29 1.9
## harmonious        16 0.67 0.45 0.65 0.35 1.8
## nice              22 0.66 0.54 0.72 0.28 1.9
## lovely            20 0.65 0.50 0.66 0.34 1.9
## pleasing          24 0.63 0.61 0.77 0.23 2.0
## tasteful          30 0.62 0.51 0.64 0.36 1.9
## professional      26 0.62 0.24 0.43 0.57 1.3
## delightful        10 0.61 0.54 0.67 0.33 2.0
## motivating        21 0.60 0.49 0.60 0.40 1.9
## engaging          12 0.55 0.52 0.58 0.42 2.0
## sophisticated     29 0.54 0.34 0.41 0.59 1.7
## colorHarmonious    8 0.50 0.36 0.38 0.62 1.8
## cluttered          7 0.47 0.15 0.24 0.76 1.2
## artistic           2 0.24 0.72 0.59 0.41 1.2
## exciting          14 0.40 0.70 0.65 0.35 1.6
## pretty            25 0.47 0.68 0.68 0.32 1.8
## appealing          1 0.57 0.68 0.79 0.21 1.9
## attractive         3 0.55 0.67 0.75 0.25 1.9
## creative           9 0.32 0.67 0.54 0.46 1.4
## enjoyable         13 0.57 0.66 0.76 0.24 2.0
## beautiful          5 0.54 0.63 0.69 0.31 1.9
## fascinating       15 0.32 0.63 0.50 0.50 1.5
## interesting       17 0.31 0.62 0.48 0.52 1.5
## likable           19 0.60 0.61 0.74 0.26 2.0
## satisfying        28 0.60 0.60 0.72 0.28 2.0
## provoking         27 0.00 0.41 0.17 0.83 1.0
## 
##                         PA1  PA2
## SS loadings           10.13 8.53
## Proportion Var         0.33 0.28
## Cumulative Var         0.33 0.60
## Proportion Explained   0.54 0.46
## Cumulative Proportion  0.54 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.01
## The degrees of freedom for the model are 404  and the objective function was  3.94 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.93 0.92
## Multiple R square of scores with factors          0.87 0.85
## Minimum correlation of possible factor scores     0.75 0.71
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2   h2   u2 com
## organized         23  0.99 -0.31 0.62 0.38 1.2
## clean              6  0.92 -0.21 0.60 0.40 1.1
## wellDesigned      31  0.85 -0.07 0.63 0.37 1.0
## balanced           4  0.77  0.04 0.65 0.35 1.0
## professional      26  0.70 -0.06 0.43 0.57 1.0
## inviting          18  0.68  0.14 0.64 0.36 1.1
## harmonious        16  0.64  0.20 0.65 0.35 1.2
## elegant           11  0.62  0.28 0.71 0.29 1.4
## lovely            20  0.58  0.28 0.66 0.34 1.4
## nice              22  0.57  0.33 0.72 0.28 1.6
## cluttered          7  0.55 -0.09 0.24 0.76 1.1
## tasteful          30  0.54  0.31 0.64 0.36 1.6
## sophisticated     29  0.54  0.13 0.41 0.59 1.1
## motivating        21  0.52  0.30 0.60 0.40 1.6
## delightful        10  0.51  0.36 0.67 0.33 1.8
## pleasing          24  0.49  0.44 0.77 0.23 2.0
## colorHarmonious    8  0.46  0.19 0.38 0.62 1.3
## engaging          12  0.43  0.38 0.58 0.42 2.0
## artistic           2 -0.12  0.85 0.59 0.41 1.0
## creative           9  0.02  0.72 0.54 0.46 1.0
## exciting          14  0.11  0.72 0.65 0.35 1.0
## fascinating       15  0.05  0.67 0.50 0.50 1.0
## interesting       17  0.03  0.67 0.48 0.52 1.0
## pretty            25  0.22  0.65 0.68 0.32 1.2
## appealing          1  0.36  0.58 0.79 0.21 1.7
## provoking         27 -0.27  0.58 0.17 0.83 1.4
## attractive         3  0.34  0.58 0.75 0.25 1.6
## enjoyable         13  0.38  0.55 0.76 0.24 1.8
## beautiful          5  0.34  0.54 0.69 0.31 1.7
## likable           19  0.45  0.47 0.74 0.26 2.0
## satisfying        28  0.44  0.46 0.72 0.28 2.0
## 
##                         PA1  PA2
## SS loadings           10.52 8.14
## Proportion Var         0.34 0.26
## Cumulative Var         0.34 0.60
## Proportion Explained   0.56 0.44
## Cumulative Proportion  0.56 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.76
## PA2 0.76 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  29.01
## The degrees of freedom for the model are 404  and the objective function was  3.94 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.96 0.95
## Minimum correlation of possible factor scores     0.92 0.89
## 
## 
## ## Image  11

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.87 0.756 0.24   1
## delightful      10 0.86 0.738 0.26   1
## lovely          20 0.86 0.732 0.27   1
## satisfying      28 0.86 0.731 0.27   1
## enjoyable       13 0.85 0.728 0.27   1
## appealing        1 0.85 0.725 0.27   1
## likable         19 0.85 0.721 0.28   1
## beautiful        5 0.85 0.718 0.28   1
## attractive       3 0.85 0.715 0.29   1
## nice            22 0.84 0.708 0.29   1
## pretty          25 0.84 0.698 0.30   1
## inviting        18 0.83 0.696 0.30   1
## exciting        14 0.82 0.674 0.33   1
## tasteful        30 0.82 0.669 0.33   1
## engaging        12 0.79 0.630 0.37   1
## motivating      21 0.78 0.615 0.38   1
## harmonious      16 0.77 0.596 0.40   1
## wellDesigned    31 0.76 0.571 0.43   1
## elegant         11 0.76 0.571 0.43   1
## balanced         4 0.74 0.543 0.46   1
## fascinating     15 0.73 0.531 0.47   1
## clean            6 0.71 0.504 0.50   1
## interesting     17 0.70 0.490 0.51   1
## creative         9 0.65 0.424 0.58   1
## artistic         2 0.64 0.416 0.58   1
## organized       23 0.64 0.409 0.59   1
## sophisticated   29 0.63 0.398 0.60   1
## professional    26 0.52 0.273 0.73   1
## colorHarmonious  8 0.51 0.257 0.74   1
## provoking       27 0.40 0.162 0.84   1
## cluttered        7 0.21 0.043 0.96   1
## 
##                  PA1
## SS loadings    17.44
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.52
## The degrees of freedom for the model are 434  and the objective function was  6.32 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## exciting          14 0.79 0.37 0.756 0.24 1.4
## interesting       17 0.76 0.23 0.625 0.37 1.2
## creative           9 0.74 0.18 0.577 0.42 1.1
## fascinating       15 0.73 0.29 0.621 0.38 1.3
## engaging          12 0.73 0.39 0.679 0.32 1.5
## artistic           2 0.70 0.21 0.533 0.47 1.2
## pretty            25 0.70 0.48 0.716 0.28 1.8
## attractive         3 0.69 0.50 0.728 0.27 1.8
## enjoyable         13 0.68 0.53 0.734 0.27 1.9
## beautiful          5 0.64 0.55 0.718 0.28 2.0
## nice              22 0.63 0.55 0.708 0.29 2.0
## delightful        10 0.63 0.58 0.736 0.26 2.0
## lovely            20 0.62 0.58 0.730 0.27 2.0
## appealing          1 0.62 0.58 0.723 0.28 2.0
## likable           19 0.61 0.59 0.719 0.28 2.0
## provoking         27 0.55 0.01 0.304 0.70 1.0
## colorHarmonious    8 0.41 0.31 0.260 0.74 1.9
## clean              6 0.21 0.82 0.715 0.29 1.1
## organized         23 0.17 0.75 0.599 0.40 1.1
## elegant           11 0.36 0.72 0.653 0.35 1.5
## balanced           4 0.33 0.72 0.634 0.37 1.4
## wellDesigned      31 0.37 0.71 0.642 0.36 1.5
## satisfying        28 0.56 0.65 0.737 0.26 2.0
## professional      26 0.11 0.65 0.430 0.57 1.1
## inviting          18 0.55 0.63 0.700 0.30 2.0
## pleasing          24 0.61 0.62 0.754 0.25 2.0
## harmonious        16 0.48 0.61 0.608 0.39 1.9
## tasteful          30 0.56 0.60 0.670 0.33 2.0
## sophisticated     29 0.31 0.59 0.447 0.55 1.5
## motivating        21 0.55 0.56 0.614 0.39 2.0
## cluttered          7 0.05 0.25 0.064 0.94 1.1
## 
##                        PA1  PA2
## SS loadings           9.94 9.20
## Proportion Var        0.32 0.30
## Cumulative Var        0.32 0.62
## Proportion Explained  0.52 0.48
## Cumulative Proportion 0.52 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.52
## The degrees of freedom for the model are 404  and the objective function was  4.38 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.95
## Multiple R square of scores with factors          0.90 0.89
## Minimum correlation of possible factor scores     0.81 0.79
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## creative           9  0.89 -0.19 0.577 0.42 1.1
## interesting       17  0.89 -0.14 0.625 0.37 1.0
## exciting          14  0.84  0.04 0.756 0.24 1.0
## artistic           2  0.82 -0.13 0.533 0.47 1.1
## fascinating       15  0.81 -0.03 0.621 0.38 1.0
## engaging          12  0.75  0.10 0.679 0.32 1.0
## provoking         27  0.73 -0.31 0.304 0.70 1.3
## pretty            25  0.66  0.23 0.716 0.28 1.2
## attractive         3  0.64  0.26 0.728 0.27 1.3
## enjoyable         13  0.60  0.31 0.734 0.27 1.5
## beautiful          5  0.54  0.37 0.718 0.28 1.8
## nice              22  0.53  0.37 0.708 0.29 1.8
## delightful        10  0.51  0.41 0.736 0.26 1.9
## appealing          1  0.50  0.41 0.723 0.28 1.9
## lovely            20  0.50  0.42 0.730 0.27 1.9
## likable           19  0.48  0.43 0.719 0.28 2.0
## colorHarmonious    8  0.37  0.18 0.260 0.74 1.4
## clean              6 -0.19  0.97 0.715 0.29 1.1
## organized         23 -0.20  0.91 0.599 0.40 1.1
## professional      26 -0.22  0.80 0.430 0.57 1.2
## balanced           4  0.03  0.78 0.634 0.37 1.0
## elegant           11  0.06  0.76 0.653 0.35 1.0
## wellDesigned      31  0.09  0.74 0.642 0.36 1.0
## sophisticated     29  0.07  0.62 0.447 0.55 1.0
## satisfying        28  0.38  0.54 0.737 0.26 1.8
## harmonious        16  0.29  0.54 0.608 0.39 1.5
## inviting          18  0.38  0.52 0.700 0.30 1.8
## tasteful          30  0.40  0.48 0.670 0.33 1.9
## pleasing          24  0.46  0.47 0.754 0.25 2.0
## motivating        21  0.41  0.43 0.614 0.39 2.0
## cluttered          7 -0.07  0.30 0.064 0.94 1.1
## 
##                         PA1  PA2
## SS loadings           10.15 8.98
## Proportion Var         0.33 0.29
## Cumulative Var         0.33 0.62
## Proportion Explained   0.53 0.47
## Cumulative Proportion  0.53 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.73
## PA2 0.73 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.52
## The degrees of freedom for the model are 404  and the objective function was  4.38 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.96 0.96
## Minimum correlation of possible factor scores     0.93 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.87 0.756 0.24   1
## delightful      10 0.86 0.738 0.26   1
## lovely          20 0.86 0.732 0.27   1
## satisfying      28 0.86 0.731 0.27   1
## enjoyable       13 0.85 0.728 0.27   1
## appealing        1 0.85 0.725 0.27   1
## likable         19 0.85 0.721 0.28   1
## beautiful        5 0.85 0.718 0.28   1
## attractive       3 0.85 0.715 0.29   1
## nice            22 0.84 0.708 0.29   1
## pretty          25 0.84 0.698 0.30   1
## inviting        18 0.83 0.696 0.30   1
## exciting        14 0.82 0.674 0.33   1
## tasteful        30 0.82 0.669 0.33   1
## engaging        12 0.79 0.630 0.37   1
## motivating      21 0.78 0.615 0.38   1
## harmonious      16 0.77 0.596 0.40   1
## wellDesigned    31 0.76 0.571 0.43   1
## elegant         11 0.76 0.571 0.43   1
## balanced         4 0.74 0.543 0.46   1
## fascinating     15 0.73 0.531 0.47   1
## clean            6 0.71 0.504 0.50   1
## interesting     17 0.70 0.490 0.51   1
## creative         9 0.65 0.424 0.58   1
## artistic         2 0.64 0.416 0.58   1
## organized       23 0.64 0.409 0.59   1
## sophisticated   29 0.63 0.398 0.60   1
## professional    26 0.52 0.273 0.73   1
## colorHarmonious  8 0.51 0.257 0.74   1
## provoking       27 0.40 0.162 0.84   1
## cluttered        7 0.21 0.043 0.96   1
## 
##                  PA1
## SS loadings    17.44
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.52
## The degrees of freedom for the model are 434  and the objective function was  6.32 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## exciting          14 0.79 0.37 0.756 0.24 1.4
## interesting       17 0.76 0.23 0.625 0.37 1.2
## creative           9 0.74 0.18 0.577 0.42 1.1
## fascinating       15 0.73 0.29 0.621 0.38 1.3
## engaging          12 0.73 0.39 0.679 0.32 1.5
## artistic           2 0.70 0.21 0.533 0.47 1.2
## pretty            25 0.70 0.48 0.716 0.28 1.8
## attractive         3 0.69 0.50 0.728 0.27 1.8
## enjoyable         13 0.68 0.53 0.734 0.27 1.9
## beautiful          5 0.64 0.55 0.718 0.28 2.0
## nice              22 0.63 0.55 0.708 0.29 2.0
## delightful        10 0.63 0.58 0.736 0.26 2.0
## lovely            20 0.62 0.58 0.730 0.27 2.0
## appealing          1 0.62 0.58 0.723 0.28 2.0
## likable           19 0.61 0.59 0.719 0.28 2.0
## provoking         27 0.55 0.01 0.304 0.70 1.0
## colorHarmonious    8 0.41 0.31 0.260 0.74 1.9
## clean              6 0.21 0.82 0.715 0.29 1.1
## organized         23 0.17 0.75 0.599 0.40 1.1
## elegant           11 0.36 0.72 0.653 0.35 1.5
## balanced           4 0.33 0.72 0.634 0.37 1.4
## wellDesigned      31 0.37 0.71 0.642 0.36 1.5
## satisfying        28 0.56 0.65 0.737 0.26 2.0
## professional      26 0.11 0.65 0.430 0.57 1.1
## inviting          18 0.55 0.63 0.700 0.30 2.0
## pleasing          24 0.61 0.62 0.754 0.25 2.0
## harmonious        16 0.48 0.61 0.608 0.39 1.9
## tasteful          30 0.56 0.60 0.670 0.33 2.0
## sophisticated     29 0.31 0.59 0.447 0.55 1.5
## motivating        21 0.55 0.56 0.614 0.39 2.0
## cluttered          7 0.05 0.25 0.064 0.94 1.1
## 
##                        PA1  PA2
## SS loadings           9.94 9.20
## Proportion Var        0.32 0.30
## Cumulative Var        0.32 0.62
## Proportion Explained  0.52 0.48
## Cumulative Proportion 0.52 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.52
## The degrees of freedom for the model are 404  and the objective function was  4.38 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.95
## Multiple R square of scores with factors          0.90 0.89
## Minimum correlation of possible factor scores     0.81 0.79
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## creative           9  0.89 -0.19 0.577 0.42 1.1
## interesting       17  0.89 -0.14 0.625 0.37 1.0
## exciting          14  0.84  0.04 0.756 0.24 1.0
## artistic           2  0.82 -0.13 0.533 0.47 1.1
## fascinating       15  0.81 -0.03 0.621 0.38 1.0
## engaging          12  0.75  0.10 0.679 0.32 1.0
## provoking         27  0.73 -0.31 0.304 0.70 1.3
## pretty            25  0.66  0.23 0.716 0.28 1.2
## attractive         3  0.64  0.26 0.728 0.27 1.3
## enjoyable         13  0.60  0.31 0.734 0.27 1.5
## beautiful          5  0.54  0.37 0.718 0.28 1.8
## nice              22  0.53  0.37 0.708 0.29 1.8
## delightful        10  0.51  0.41 0.736 0.26 1.9
## appealing          1  0.50  0.41 0.723 0.28 1.9
## lovely            20  0.50  0.42 0.730 0.27 1.9
## likable           19  0.48  0.43 0.719 0.28 2.0
## colorHarmonious    8  0.37  0.18 0.260 0.74 1.4
## clean              6 -0.19  0.97 0.715 0.29 1.1
## organized         23 -0.20  0.91 0.599 0.40 1.1
## professional      26 -0.22  0.80 0.430 0.57 1.2
## balanced           4  0.03  0.78 0.634 0.37 1.0
## elegant           11  0.06  0.76 0.653 0.35 1.0
## wellDesigned      31  0.09  0.74 0.642 0.36 1.0
## sophisticated     29  0.07  0.62 0.447 0.55 1.0
## satisfying        28  0.38  0.54 0.737 0.26 1.8
## harmonious        16  0.29  0.54 0.608 0.39 1.5
## inviting          18  0.38  0.52 0.700 0.30 1.8
## tasteful          30  0.40  0.48 0.670 0.33 1.9
## pleasing          24  0.46  0.47 0.754 0.25 2.0
## motivating        21  0.41  0.43 0.614 0.39 2.0
## cluttered          7 -0.07  0.30 0.064 0.94 1.1
## 
##                         PA1  PA2
## SS loadings           10.15 8.98
## Proportion Var         0.33 0.29
## Cumulative Var         0.33 0.62
## Proportion Explained   0.53 0.47
## Cumulative Proportion  0.53 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.73
## PA2 0.73 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.52
## The degrees of freedom for the model are 404  and the objective function was  4.38 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.96 0.96
## Minimum correlation of possible factor scores     0.93 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.87 0.756 0.24   1
## delightful      10 0.86 0.738 0.26   1
## lovely          20 0.86 0.732 0.27   1
## satisfying      28 0.86 0.731 0.27   1
## enjoyable       13 0.85 0.728 0.27   1
## appealing        1 0.85 0.725 0.27   1
## likable         19 0.85 0.721 0.28   1
## beautiful        5 0.85 0.718 0.28   1
## attractive       3 0.85 0.715 0.29   1
## nice            22 0.84 0.708 0.29   1
## pretty          25 0.84 0.698 0.30   1
## inviting        18 0.83 0.696 0.30   1
## exciting        14 0.82 0.674 0.33   1
## tasteful        30 0.82 0.669 0.33   1
## engaging        12 0.79 0.630 0.37   1
## motivating      21 0.78 0.615 0.38   1
## harmonious      16 0.77 0.596 0.40   1
## wellDesigned    31 0.76 0.571 0.43   1
## elegant         11 0.76 0.571 0.43   1
## balanced         4 0.74 0.543 0.46   1
## fascinating     15 0.73 0.531 0.47   1
## clean            6 0.71 0.504 0.50   1
## interesting     17 0.70 0.490 0.51   1
## creative         9 0.65 0.424 0.58   1
## artistic         2 0.64 0.416 0.58   1
## organized       23 0.64 0.409 0.59   1
## sophisticated   29 0.63 0.398 0.60   1
## professional    26 0.52 0.273 0.73   1
## colorHarmonious  8 0.51 0.257 0.74   1
## provoking       27 0.40 0.162 0.84   1
## cluttered        7 0.21 0.043 0.96   1
## 
##                  PA1
## SS loadings    17.44
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.52
## The degrees of freedom for the model are 434  and the objective function was  6.32 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## exciting          14 0.79 0.37 0.756 0.24 1.4
## interesting       17 0.76 0.23 0.625 0.37 1.2
## creative           9 0.74 0.18 0.577 0.42 1.1
## fascinating       15 0.73 0.29 0.621 0.38 1.3
## engaging          12 0.73 0.39 0.679 0.32 1.5
## artistic           2 0.70 0.21 0.533 0.47 1.2
## pretty            25 0.70 0.48 0.716 0.28 1.8
## attractive         3 0.69 0.50 0.728 0.27 1.8
## enjoyable         13 0.68 0.53 0.734 0.27 1.9
## beautiful          5 0.64 0.55 0.718 0.28 2.0
## nice              22 0.63 0.55 0.708 0.29 2.0
## delightful        10 0.63 0.58 0.736 0.26 2.0
## lovely            20 0.62 0.58 0.730 0.27 2.0
## appealing          1 0.62 0.58 0.723 0.28 2.0
## likable           19 0.61 0.59 0.719 0.28 2.0
## provoking         27 0.55 0.01 0.304 0.70 1.0
## colorHarmonious    8 0.41 0.31 0.260 0.74 1.9
## clean              6 0.21 0.82 0.715 0.29 1.1
## organized         23 0.17 0.75 0.599 0.40 1.1
## elegant           11 0.36 0.72 0.653 0.35 1.5
## balanced           4 0.33 0.72 0.634 0.37 1.4
## wellDesigned      31 0.37 0.71 0.642 0.36 1.5
## satisfying        28 0.56 0.65 0.737 0.26 2.0
## professional      26 0.11 0.65 0.430 0.57 1.1
## inviting          18 0.55 0.63 0.700 0.30 2.0
## pleasing          24 0.61 0.62 0.754 0.25 2.0
## harmonious        16 0.48 0.61 0.608 0.39 1.9
## tasteful          30 0.56 0.60 0.670 0.33 2.0
## sophisticated     29 0.31 0.59 0.447 0.55 1.5
## motivating        21 0.55 0.56 0.614 0.39 2.0
## cluttered          7 0.05 0.25 0.064 0.94 1.1
## 
##                        PA1  PA2
## SS loadings           9.94 9.20
## Proportion Var        0.32 0.30
## Cumulative Var        0.32 0.62
## Proportion Explained  0.52 0.48
## Cumulative Proportion 0.52 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.52
## The degrees of freedom for the model are 404  and the objective function was  4.38 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.95
## Multiple R square of scores with factors          0.90 0.89
## Minimum correlation of possible factor scores     0.81 0.79
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## creative           9  0.89 -0.19 0.577 0.42 1.1
## interesting       17  0.89 -0.14 0.625 0.37 1.0
## exciting          14  0.84  0.04 0.756 0.24 1.0
## artistic           2  0.82 -0.13 0.533 0.47 1.1
## fascinating       15  0.81 -0.03 0.621 0.38 1.0
## engaging          12  0.75  0.10 0.679 0.32 1.0
## provoking         27  0.73 -0.31 0.304 0.70 1.3
## pretty            25  0.66  0.23 0.716 0.28 1.2
## attractive         3  0.64  0.26 0.728 0.27 1.3
## enjoyable         13  0.60  0.31 0.734 0.27 1.5
## beautiful          5  0.54  0.37 0.718 0.28 1.8
## nice              22  0.53  0.37 0.708 0.29 1.8
## delightful        10  0.51  0.41 0.736 0.26 1.9
## appealing          1  0.50  0.41 0.723 0.28 1.9
## lovely            20  0.50  0.42 0.730 0.27 1.9
## likable           19  0.48  0.43 0.719 0.28 2.0
## colorHarmonious    8  0.37  0.18 0.260 0.74 1.4
## clean              6 -0.19  0.97 0.715 0.29 1.1
## organized         23 -0.20  0.91 0.599 0.40 1.1
## professional      26 -0.22  0.80 0.430 0.57 1.2
## balanced           4  0.03  0.78 0.634 0.37 1.0
## elegant           11  0.06  0.76 0.653 0.35 1.0
## wellDesigned      31  0.09  0.74 0.642 0.36 1.0
## sophisticated     29  0.07  0.62 0.447 0.55 1.0
## satisfying        28  0.38  0.54 0.737 0.26 1.8
## harmonious        16  0.29  0.54 0.608 0.39 1.5
## inviting          18  0.38  0.52 0.700 0.30 1.8
## tasteful          30  0.40  0.48 0.670 0.33 1.9
## pleasing          24  0.46  0.47 0.754 0.25 2.0
## motivating        21  0.41  0.43 0.614 0.39 2.0
## cluttered          7 -0.07  0.30 0.064 0.94 1.1
## 
##                         PA1  PA2
## SS loadings           10.15 8.98
## Proportion Var         0.33 0.29
## Cumulative Var         0.33 0.62
## Proportion Explained   0.53 0.47
## Cumulative Proportion  0.53 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.73
## PA2 0.73 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.52
## The degrees of freedom for the model are 404  and the objective function was  4.38 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.96 0.96
## Minimum correlation of possible factor scores     0.93 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.87 0.756 0.24   1
## delightful      10 0.86 0.738 0.26   1
## lovely          20 0.86 0.732 0.27   1
## satisfying      28 0.86 0.731 0.27   1
## enjoyable       13 0.85 0.728 0.27   1
## appealing        1 0.85 0.725 0.27   1
## likable         19 0.85 0.721 0.28   1
## beautiful        5 0.85 0.718 0.28   1
## attractive       3 0.85 0.715 0.29   1
## nice            22 0.84 0.708 0.29   1
## pretty          25 0.84 0.698 0.30   1
## inviting        18 0.83 0.696 0.30   1
## exciting        14 0.82 0.674 0.33   1
## tasteful        30 0.82 0.669 0.33   1
## engaging        12 0.79 0.630 0.37   1
## motivating      21 0.78 0.615 0.38   1
## harmonious      16 0.77 0.596 0.40   1
## wellDesigned    31 0.76 0.571 0.43   1
## elegant         11 0.76 0.571 0.43   1
## balanced         4 0.74 0.543 0.46   1
## fascinating     15 0.73 0.531 0.47   1
## clean            6 0.71 0.504 0.50   1
## interesting     17 0.70 0.490 0.51   1
## creative         9 0.65 0.424 0.58   1
## artistic         2 0.64 0.416 0.58   1
## organized       23 0.64 0.409 0.59   1
## sophisticated   29 0.63 0.398 0.60   1
## professional    26 0.52 0.273 0.73   1
## colorHarmonious  8 0.51 0.257 0.74   1
## provoking       27 0.40 0.162 0.84   1
## cluttered        7 0.21 0.043 0.96   1
## 
##                  PA1
## SS loadings    17.44
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.52
## The degrees of freedom for the model are 434  and the objective function was  6.32 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## exciting          14 0.79 0.37 0.756 0.24 1.4
## interesting       17 0.76 0.23 0.625 0.37 1.2
## creative           9 0.74 0.18 0.577 0.42 1.1
## fascinating       15 0.73 0.29 0.621 0.38 1.3
## engaging          12 0.73 0.39 0.679 0.32 1.5
## artistic           2 0.70 0.21 0.533 0.47 1.2
## pretty            25 0.70 0.48 0.716 0.28 1.8
## attractive         3 0.69 0.50 0.728 0.27 1.8
## enjoyable         13 0.68 0.53 0.734 0.27 1.9
## beautiful          5 0.64 0.55 0.718 0.28 2.0
## nice              22 0.63 0.55 0.708 0.29 2.0
## delightful        10 0.63 0.58 0.736 0.26 2.0
## lovely            20 0.62 0.58 0.730 0.27 2.0
## appealing          1 0.62 0.58 0.723 0.28 2.0
## likable           19 0.61 0.59 0.719 0.28 2.0
## provoking         27 0.55 0.01 0.304 0.70 1.0
## colorHarmonious    8 0.41 0.31 0.260 0.74 1.9
## clean              6 0.21 0.82 0.715 0.29 1.1
## organized         23 0.17 0.75 0.599 0.40 1.1
## elegant           11 0.36 0.72 0.653 0.35 1.5
## balanced           4 0.33 0.72 0.634 0.37 1.4
## wellDesigned      31 0.37 0.71 0.642 0.36 1.5
## satisfying        28 0.56 0.65 0.737 0.26 2.0
## professional      26 0.11 0.65 0.430 0.57 1.1
## inviting          18 0.55 0.63 0.700 0.30 2.0
## pleasing          24 0.61 0.62 0.754 0.25 2.0
## harmonious        16 0.48 0.61 0.608 0.39 1.9
## tasteful          30 0.56 0.60 0.670 0.33 2.0
## sophisticated     29 0.31 0.59 0.447 0.55 1.5
## motivating        21 0.55 0.56 0.614 0.39 2.0
## cluttered          7 0.05 0.25 0.064 0.94 1.1
## 
##                        PA1  PA2
## SS loadings           9.94 9.20
## Proportion Var        0.32 0.30
## Cumulative Var        0.32 0.62
## Proportion Explained  0.52 0.48
## Cumulative Proportion 0.52 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.52
## The degrees of freedom for the model are 404  and the objective function was  4.38 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.95
## Multiple R square of scores with factors          0.90 0.89
## Minimum correlation of possible factor scores     0.81 0.79
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## creative           9  0.89 -0.19 0.577 0.42 1.1
## interesting       17  0.89 -0.14 0.625 0.37 1.0
## exciting          14  0.84  0.04 0.756 0.24 1.0
## artistic           2  0.82 -0.13 0.533 0.47 1.1
## fascinating       15  0.81 -0.03 0.621 0.38 1.0
## engaging          12  0.75  0.10 0.679 0.32 1.0
## provoking         27  0.73 -0.31 0.304 0.70 1.3
## pretty            25  0.66  0.23 0.716 0.28 1.2
## attractive         3  0.64  0.26 0.728 0.27 1.3
## enjoyable         13  0.60  0.31 0.734 0.27 1.5
## beautiful          5  0.54  0.37 0.718 0.28 1.8
## nice              22  0.53  0.37 0.708 0.29 1.8
## delightful        10  0.51  0.41 0.736 0.26 1.9
## appealing          1  0.50  0.41 0.723 0.28 1.9
## lovely            20  0.50  0.42 0.730 0.27 1.9
## likable           19  0.48  0.43 0.719 0.28 2.0
## colorHarmonious    8  0.37  0.18 0.260 0.74 1.4
## clean              6 -0.19  0.97 0.715 0.29 1.1
## organized         23 -0.20  0.91 0.599 0.40 1.1
## professional      26 -0.22  0.80 0.430 0.57 1.2
## balanced           4  0.03  0.78 0.634 0.37 1.0
## elegant           11  0.06  0.76 0.653 0.35 1.0
## wellDesigned      31  0.09  0.74 0.642 0.36 1.0
## sophisticated     29  0.07  0.62 0.447 0.55 1.0
## satisfying        28  0.38  0.54 0.737 0.26 1.8
## harmonious        16  0.29  0.54 0.608 0.39 1.5
## inviting          18  0.38  0.52 0.700 0.30 1.8
## tasteful          30  0.40  0.48 0.670 0.33 1.9
## pleasing          24  0.46  0.47 0.754 0.25 2.0
## motivating        21  0.41  0.43 0.614 0.39 2.0
## cluttered          7 -0.07  0.30 0.064 0.94 1.1
## 
##                         PA1  PA2
## SS loadings           10.15 8.98
## Proportion Var         0.33 0.29
## Cumulative Var         0.33 0.62
## Proportion Explained   0.53 0.47
## Cumulative Proportion  0.53 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.73
## PA2 0.73 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.52
## The degrees of freedom for the model are 404  and the objective function was  4.38 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.96 0.96
## Minimum correlation of possible factor scores     0.93 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## pleasing        24 0.87 0.756 0.24   1
## delightful      10 0.86 0.738 0.26   1
## lovely          20 0.86 0.732 0.27   1
## satisfying      28 0.86 0.731 0.27   1
## enjoyable       13 0.85 0.728 0.27   1
## appealing        1 0.85 0.725 0.27   1
## likable         19 0.85 0.721 0.28   1
## beautiful        5 0.85 0.718 0.28   1
## attractive       3 0.85 0.715 0.29   1
## nice            22 0.84 0.708 0.29   1
## pretty          25 0.84 0.698 0.30   1
## inviting        18 0.83 0.696 0.30   1
## exciting        14 0.82 0.674 0.33   1
## tasteful        30 0.82 0.669 0.33   1
## engaging        12 0.79 0.630 0.37   1
## motivating      21 0.78 0.615 0.38   1
## harmonious      16 0.77 0.596 0.40   1
## wellDesigned    31 0.76 0.571 0.43   1
## elegant         11 0.76 0.571 0.43   1
## balanced         4 0.74 0.543 0.46   1
## fascinating     15 0.73 0.531 0.47   1
## clean            6 0.71 0.504 0.50   1
## interesting     17 0.70 0.490 0.51   1
## creative         9 0.65 0.424 0.58   1
## artistic         2 0.64 0.416 0.58   1
## organized       23 0.64 0.409 0.59   1
## sophisticated   29 0.63 0.398 0.60   1
## professional    26 0.52 0.273 0.73   1
## colorHarmonious  8 0.51 0.257 0.74   1
## provoking       27 0.40 0.162 0.84   1
## cluttered        7 0.21 0.043 0.96   1
## 
##                  PA1
## SS loadings    17.44
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.52
## The degrees of freedom for the model are 434  and the objective function was  6.32 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## exciting          14 0.79 0.37 0.756 0.24 1.4
## interesting       17 0.76 0.23 0.625 0.37 1.2
## creative           9 0.74 0.18 0.577 0.42 1.1
## fascinating       15 0.73 0.29 0.621 0.38 1.3
## engaging          12 0.73 0.39 0.679 0.32 1.5
## artistic           2 0.70 0.21 0.533 0.47 1.2
## pretty            25 0.70 0.48 0.716 0.28 1.8
## attractive         3 0.69 0.50 0.728 0.27 1.8
## enjoyable         13 0.68 0.53 0.734 0.27 1.9
## beautiful          5 0.64 0.55 0.718 0.28 2.0
## nice              22 0.63 0.55 0.708 0.29 2.0
## delightful        10 0.63 0.58 0.736 0.26 2.0
## lovely            20 0.62 0.58 0.730 0.27 2.0
## appealing          1 0.62 0.58 0.723 0.28 2.0
## likable           19 0.61 0.59 0.719 0.28 2.0
## provoking         27 0.55 0.01 0.304 0.70 1.0
## colorHarmonious    8 0.41 0.31 0.260 0.74 1.9
## clean              6 0.21 0.82 0.715 0.29 1.1
## organized         23 0.17 0.75 0.599 0.40 1.1
## elegant           11 0.36 0.72 0.653 0.35 1.5
## balanced           4 0.33 0.72 0.634 0.37 1.4
## wellDesigned      31 0.37 0.71 0.642 0.36 1.5
## satisfying        28 0.56 0.65 0.737 0.26 2.0
## professional      26 0.11 0.65 0.430 0.57 1.1
## inviting          18 0.55 0.63 0.700 0.30 2.0
## pleasing          24 0.61 0.62 0.754 0.25 2.0
## harmonious        16 0.48 0.61 0.608 0.39 1.9
## tasteful          30 0.56 0.60 0.670 0.33 2.0
## sophisticated     29 0.31 0.59 0.447 0.55 1.5
## motivating        21 0.55 0.56 0.614 0.39 2.0
## cluttered          7 0.05 0.25 0.064 0.94 1.1
## 
##                        PA1  PA2
## SS loadings           9.94 9.20
## Proportion Var        0.32 0.30
## Cumulative Var        0.32 0.62
## Proportion Explained  0.52 0.48
## Cumulative Proportion 0.52 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.52
## The degrees of freedom for the model are 404  and the objective function was  4.38 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.95
## Multiple R square of scores with factors          0.90 0.89
## Minimum correlation of possible factor scores     0.81 0.79
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## creative           9  0.89 -0.19 0.577 0.42 1.1
## interesting       17  0.89 -0.14 0.625 0.37 1.0
## exciting          14  0.84  0.04 0.756 0.24 1.0
## artistic           2  0.82 -0.13 0.533 0.47 1.1
## fascinating       15  0.81 -0.03 0.621 0.38 1.0
## engaging          12  0.75  0.10 0.679 0.32 1.0
## provoking         27  0.73 -0.31 0.304 0.70 1.3
## pretty            25  0.66  0.23 0.716 0.28 1.2
## attractive         3  0.64  0.26 0.728 0.27 1.3
## enjoyable         13  0.60  0.31 0.734 0.27 1.5
## beautiful          5  0.54  0.37 0.718 0.28 1.8
## nice              22  0.53  0.37 0.708 0.29 1.8
## delightful        10  0.51  0.41 0.736 0.26 1.9
## appealing          1  0.50  0.41 0.723 0.28 1.9
## lovely            20  0.50  0.42 0.730 0.27 1.9
## likable           19  0.48  0.43 0.719 0.28 2.0
## colorHarmonious    8  0.37  0.18 0.260 0.74 1.4
## clean              6 -0.19  0.97 0.715 0.29 1.1
## organized         23 -0.20  0.91 0.599 0.40 1.1
## professional      26 -0.22  0.80 0.430 0.57 1.2
## balanced           4  0.03  0.78 0.634 0.37 1.0
## elegant           11  0.06  0.76 0.653 0.35 1.0
## wellDesigned      31  0.09  0.74 0.642 0.36 1.0
## sophisticated     29  0.07  0.62 0.447 0.55 1.0
## satisfying        28  0.38  0.54 0.737 0.26 1.8
## harmonious        16  0.29  0.54 0.608 0.39 1.5
## inviting          18  0.38  0.52 0.700 0.30 1.8
## tasteful          30  0.40  0.48 0.670 0.33 1.9
## pleasing          24  0.46  0.47 0.754 0.25 2.0
## motivating        21  0.41  0.43 0.614 0.39 2.0
## cluttered          7 -0.07  0.30 0.064 0.94 1.1
## 
##                         PA1  PA2
## SS loadings           10.15 8.98
## Proportion Var         0.33 0.29
## Cumulative Var         0.33 0.62
## Proportion Explained   0.53 0.47
## Cumulative Proportion  0.53 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.73
## PA2 0.73 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.52
## The degrees of freedom for the model are 404  and the objective function was  4.38 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.96 0.96
## Minimum correlation of possible factor scores     0.93 0.91
## 
## 
## ## Image  12

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V   PA1     h2   u2 com
## likable         19  0.89 0.7856 0.21   1
## pleasing        24  0.88 0.7768 0.22   1
## enjoyable       13  0.88 0.7728 0.23   1
## delightful      10  0.88 0.7665 0.23   1
## appealing        1  0.88 0.7658 0.23   1
## satisfying      28  0.87 0.7625 0.24   1
## attractive       3  0.87 0.7591 0.24   1
## lovely          20  0.86 0.7360 0.26   1
## beautiful        5  0.85 0.7302 0.27   1
## pretty          25  0.85 0.7196 0.28   1
## nice            22  0.82 0.6727 0.33   1
## wellDesigned    31  0.81 0.6639 0.34   1
## elegant         11  0.80 0.6454 0.35   1
## harmonious      16  0.80 0.6356 0.36   1
## inviting        18  0.78 0.6007 0.40   1
## fascinating     15  0.77 0.5983 0.40   1
## exciting        14  0.77 0.5939 0.41   1
## engaging        12  0.77 0.5864 0.41   1
## tasteful        30  0.76 0.5750 0.42   1
## sophisticated   29  0.75 0.5642 0.44   1
## interesting     17  0.73 0.5309 0.47   1
## motivating      21  0.71 0.5097 0.49   1
## clean            6  0.71 0.5007 0.50   1
## artistic         2  0.69 0.4813 0.52   1
## professional    26  0.67 0.4544 0.55   1
## balanced         4  0.66 0.4393 0.56   1
## organized       23  0.66 0.4316 0.57   1
## creative         9  0.64 0.4139 0.59   1
## colorHarmonious  8  0.62 0.3830 0.62   1
## provoking       27  0.32 0.1052 0.89   1
## cluttered        7 -0.05 0.0025 1.00   1
## 
##                  PA1
## SS loadings    17.96
## Proportion Var  0.58
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  31.16
## The degrees of freedom for the model are 434  and the objective function was  5.62 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1   PA2    h2   u2 com
## artistic           2 0.84  0.04 0.699 0.30 1.0
## pretty            25 0.76  0.39 0.735 0.26 1.5
## delightful        10 0.76  0.44 0.772 0.23 1.6
## creative           9 0.75  0.06 0.571 0.43 1.0
## beautiful          5 0.75  0.42 0.737 0.26 1.6
## fascinating       15 0.74  0.29 0.637 0.36 1.3
## likable           19 0.74  0.49 0.785 0.21 1.7
## pleasing          24 0.74  0.48 0.777 0.22 1.7
## enjoyable         13 0.73  0.49 0.772 0.23 1.7
## lovely            20 0.73  0.46 0.737 0.26 1.7
## exciting          14 0.71  0.33 0.616 0.38 1.4
## nice              22 0.71  0.42 0.676 0.32 1.6
## attractive         3 0.70  0.51 0.758 0.24 1.8
## satisfying        28 0.70  0.52 0.761 0.24 1.9
## appealing          1 0.69  0.53 0.765 0.23 1.9
## interesting       17 0.68  0.30 0.555 0.44 1.4
## engaging          12 0.64  0.42 0.586 0.41 1.7
## inviting          18 0.61  0.48 0.601 0.40 1.9
## elegant           11 0.60  0.54 0.652 0.35 2.0
## motivating        21 0.60  0.39 0.510 0.49 1.7
## tasteful          30 0.59  0.47 0.575 0.42 1.9
## sophisticated     29 0.59  0.47 0.565 0.44 1.9
## harmonious        16 0.58  0.56 0.649 0.35 2.0
## colorHarmonious    8 0.52  0.34 0.383 0.62 1.7
## provoking         27 0.42 -0.02 0.174 0.83 1.0
## organized         23 0.25  0.80 0.701 0.30 1.2
## clean              6 0.36  0.72 0.652 0.35 1.5
## professional      26 0.32  0.72 0.623 0.38 1.4
## balanced           4 0.36  0.64 0.542 0.46 1.6
## wellDesigned      31 0.57  0.61 0.693 0.31 2.0
## cluttered          7 0.09 -0.21 0.054 0.95 1.4
## 
##                         PA1  PA2
## SS loadings           12.35 6.97
## Proportion Var         0.40 0.22
## Cumulative Var         0.40 0.62
## Proportion Explained   0.64 0.36
## Cumulative Proportion  0.64 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  31.16
## The degrees of freedom for the model are 404  and the objective function was  4.21 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.92
## Multiple R square of scores with factors          0.92 0.85
## Minimum correlation of possible factor scores     0.83 0.71
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## artistic           2  1.01 -0.34 0.699 0.30 1.2
## creative           9  0.90 -0.27 0.571 0.43 1.2
## fascinating       15  0.79  0.02 0.637 0.36 1.0
## pretty            25  0.77  0.13 0.735 0.26 1.1
## delightful        10  0.74  0.19 0.772 0.23 1.1
## beautiful          5  0.74  0.17 0.737 0.26 1.1
## exciting          14  0.74  0.07 0.616 0.38 1.0
## interesting       17  0.71  0.05 0.555 0.44 1.0
## pleasing          24  0.70  0.25 0.777 0.22 1.2
## likable           19  0.70  0.26 0.785 0.21 1.3
## lovely            20  0.70  0.22 0.737 0.26 1.2
## nice              22  0.69  0.19 0.676 0.32 1.1
## enjoyable         13  0.69  0.26 0.772 0.23 1.3
## attractive         3  0.64  0.30 0.758 0.24 1.4
## satisfying        28  0.63  0.32 0.761 0.24 1.5
## appealing          1  0.62  0.33 0.765 0.23 1.5
## engaging          12  0.60  0.22 0.586 0.41 1.3
## motivating        21  0.57  0.19 0.510 0.49 1.2
## inviting          18  0.54  0.30 0.601 0.40 1.6
## tasteful          30  0.53  0.30 0.575 0.42 1.6
## provoking         27  0.52 -0.22 0.174 0.83 1.3
## sophisticated     29  0.52  0.30 0.565 0.44 1.6
## elegant           11  0.51  0.38 0.652 0.35 1.8
## colorHarmonious    8  0.49  0.18 0.383 0.62 1.3
## harmonious        16  0.47  0.42 0.649 0.35 2.0
## organized         23 -0.04  0.87 0.701 0.30 1.0
## professional      26  0.08  0.74 0.623 0.38 1.0
## clean              6  0.13  0.72 0.652 0.35 1.1
## balanced           4  0.16  0.62 0.542 0.46 1.1
## wellDesigned      31  0.43  0.49 0.693 0.31 2.0
## cluttered          7  0.21 -0.30 0.054 0.95 1.8
## 
##                         PA1  PA2
## SS loadings           13.40 5.92
## Proportion Var         0.43 0.19
## Cumulative Var         0.43 0.62
## Proportion Explained   0.69 0.31
## Cumulative Proportion  0.69 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.64
## PA2 0.64 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  31.16
## The degrees of freedom for the model are 404  and the objective function was  4.21 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.96
## Multiple R square of scores with factors          0.97 0.92
## Minimum correlation of possible factor scores     0.94 0.84

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V   PA1     h2   u2 com
## likable         19  0.89 0.7856 0.21   1
## pleasing        24  0.88 0.7768 0.22   1
## enjoyable       13  0.88 0.7728 0.23   1
## delightful      10  0.88 0.7665 0.23   1
## appealing        1  0.88 0.7658 0.23   1
## satisfying      28  0.87 0.7625 0.24   1
## attractive       3  0.87 0.7591 0.24   1
## lovely          20  0.86 0.7360 0.26   1
## beautiful        5  0.85 0.7302 0.27   1
## pretty          25  0.85 0.7196 0.28   1
## nice            22  0.82 0.6727 0.33   1
## wellDesigned    31  0.81 0.6639 0.34   1
## elegant         11  0.80 0.6454 0.35   1
## harmonious      16  0.80 0.6356 0.36   1
## inviting        18  0.78 0.6007 0.40   1
## fascinating     15  0.77 0.5983 0.40   1
## exciting        14  0.77 0.5939 0.41   1
## engaging        12  0.77 0.5864 0.41   1
## tasteful        30  0.76 0.5750 0.42   1
## sophisticated   29  0.75 0.5642 0.44   1
## interesting     17  0.73 0.5309 0.47   1
## motivating      21  0.71 0.5097 0.49   1
## clean            6  0.71 0.5007 0.50   1
## artistic         2  0.69 0.4813 0.52   1
## professional    26  0.67 0.4544 0.55   1
## balanced         4  0.66 0.4393 0.56   1
## organized       23  0.66 0.4316 0.57   1
## creative         9  0.64 0.4139 0.59   1
## colorHarmonious  8  0.62 0.3830 0.62   1
## provoking       27  0.32 0.1052 0.89   1
## cluttered        7 -0.05 0.0025 1.00   1
## 
##                  PA1
## SS loadings    17.96
## Proportion Var  0.58
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  31.16
## The degrees of freedom for the model are 434  and the objective function was  5.62 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1   PA2    h2   u2 com
## artistic           2 0.84  0.04 0.699 0.30 1.0
## pretty            25 0.76  0.39 0.735 0.26 1.5
## delightful        10 0.76  0.44 0.772 0.23 1.6
## creative           9 0.75  0.06 0.571 0.43 1.0
## beautiful          5 0.75  0.42 0.737 0.26 1.6
## fascinating       15 0.74  0.29 0.637 0.36 1.3
## likable           19 0.74  0.49 0.785 0.21 1.7
## pleasing          24 0.74  0.48 0.777 0.22 1.7
## enjoyable         13 0.73  0.49 0.772 0.23 1.7
## lovely            20 0.73  0.46 0.737 0.26 1.7
## exciting          14 0.71  0.33 0.616 0.38 1.4
## nice              22 0.71  0.42 0.676 0.32 1.6
## attractive         3 0.70  0.51 0.758 0.24 1.8
## satisfying        28 0.70  0.52 0.761 0.24 1.9
## appealing          1 0.69  0.53 0.765 0.23 1.9
## interesting       17 0.68  0.30 0.555 0.44 1.4
## engaging          12 0.64  0.42 0.586 0.41 1.7
## inviting          18 0.61  0.48 0.601 0.40 1.9
## elegant           11 0.60  0.54 0.652 0.35 2.0
## motivating        21 0.60  0.39 0.510 0.49 1.7
## tasteful          30 0.59  0.47 0.575 0.42 1.9
## sophisticated     29 0.59  0.47 0.565 0.44 1.9
## harmonious        16 0.58  0.56 0.649 0.35 2.0
## colorHarmonious    8 0.52  0.34 0.383 0.62 1.7
## provoking         27 0.42 -0.02 0.174 0.83 1.0
## organized         23 0.25  0.80 0.701 0.30 1.2
## clean              6 0.36  0.72 0.652 0.35 1.5
## professional      26 0.32  0.72 0.623 0.38 1.4
## balanced           4 0.36  0.64 0.542 0.46 1.6
## wellDesigned      31 0.57  0.61 0.693 0.31 2.0
## cluttered          7 0.09 -0.21 0.054 0.95 1.4
## 
##                         PA1  PA2
## SS loadings           12.35 6.97
## Proportion Var         0.40 0.22
## Cumulative Var         0.40 0.62
## Proportion Explained   0.64 0.36
## Cumulative Proportion  0.64 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  31.16
## The degrees of freedom for the model are 404  and the objective function was  4.21 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.92
## Multiple R square of scores with factors          0.92 0.85
## Minimum correlation of possible factor scores     0.83 0.71
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## artistic           2  1.01 -0.34 0.699 0.30 1.2
## creative           9  0.90 -0.27 0.571 0.43 1.2
## fascinating       15  0.79  0.02 0.637 0.36 1.0
## pretty            25  0.77  0.13 0.735 0.26 1.1
## delightful        10  0.74  0.19 0.772 0.23 1.1
## beautiful          5  0.74  0.17 0.737 0.26 1.1
## exciting          14  0.74  0.07 0.616 0.38 1.0
## interesting       17  0.71  0.05 0.555 0.44 1.0
## pleasing          24  0.70  0.25 0.777 0.22 1.2
## likable           19  0.70  0.26 0.785 0.21 1.3
## lovely            20  0.70  0.22 0.737 0.26 1.2
## nice              22  0.69  0.19 0.676 0.32 1.1
## enjoyable         13  0.69  0.26 0.772 0.23 1.3
## attractive         3  0.64  0.30 0.758 0.24 1.4
## satisfying        28  0.63  0.32 0.761 0.24 1.5
## appealing          1  0.62  0.33 0.765 0.23 1.5
## engaging          12  0.60  0.22 0.586 0.41 1.3
## motivating        21  0.57  0.19 0.510 0.49 1.2
## inviting          18  0.54  0.30 0.601 0.40 1.6
## tasteful          30  0.53  0.30 0.575 0.42 1.6
## provoking         27  0.52 -0.22 0.174 0.83 1.3
## sophisticated     29  0.52  0.30 0.565 0.44 1.6
## elegant           11  0.51  0.38 0.652 0.35 1.8
## colorHarmonious    8  0.49  0.18 0.383 0.62 1.3
## harmonious        16  0.47  0.42 0.649 0.35 2.0
## organized         23 -0.04  0.87 0.701 0.30 1.0
## professional      26  0.08  0.74 0.623 0.38 1.0
## clean              6  0.13  0.72 0.652 0.35 1.1
## balanced           4  0.16  0.62 0.542 0.46 1.1
## wellDesigned      31  0.43  0.49 0.693 0.31 2.0
## cluttered          7  0.21 -0.30 0.054 0.95 1.8
## 
##                         PA1  PA2
## SS loadings           13.40 5.92
## Proportion Var         0.43 0.19
## Cumulative Var         0.43 0.62
## Proportion Explained   0.69 0.31
## Cumulative Proportion  0.69 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.64
## PA2 0.64 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  31.16
## The degrees of freedom for the model are 404  and the objective function was  4.21 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.96
## Multiple R square of scores with factors          0.97 0.92
## Minimum correlation of possible factor scores     0.94 0.84

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V   PA1     h2   u2 com
## likable         19  0.89 0.7856 0.21   1
## pleasing        24  0.88 0.7768 0.22   1
## enjoyable       13  0.88 0.7728 0.23   1
## delightful      10  0.88 0.7665 0.23   1
## appealing        1  0.88 0.7658 0.23   1
## satisfying      28  0.87 0.7625 0.24   1
## attractive       3  0.87 0.7591 0.24   1
## lovely          20  0.86 0.7360 0.26   1
## beautiful        5  0.85 0.7302 0.27   1
## pretty          25  0.85 0.7196 0.28   1
## nice            22  0.82 0.6727 0.33   1
## wellDesigned    31  0.81 0.6639 0.34   1
## elegant         11  0.80 0.6454 0.35   1
## harmonious      16  0.80 0.6356 0.36   1
## inviting        18  0.78 0.6007 0.40   1
## fascinating     15  0.77 0.5983 0.40   1
## exciting        14  0.77 0.5939 0.41   1
## engaging        12  0.77 0.5864 0.41   1
## tasteful        30  0.76 0.5750 0.42   1
## sophisticated   29  0.75 0.5642 0.44   1
## interesting     17  0.73 0.5309 0.47   1
## motivating      21  0.71 0.5097 0.49   1
## clean            6  0.71 0.5007 0.50   1
## artistic         2  0.69 0.4813 0.52   1
## professional    26  0.67 0.4544 0.55   1
## balanced         4  0.66 0.4393 0.56   1
## organized       23  0.66 0.4316 0.57   1
## creative         9  0.64 0.4139 0.59   1
## colorHarmonious  8  0.62 0.3830 0.62   1
## provoking       27  0.32 0.1052 0.89   1
## cluttered        7 -0.05 0.0025 1.00   1
## 
##                  PA1
## SS loadings    17.96
## Proportion Var  0.58
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  31.16
## The degrees of freedom for the model are 434  and the objective function was  5.62 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1   PA2    h2   u2 com
## artistic           2 0.84  0.04 0.699 0.30 1.0
## pretty            25 0.76  0.39 0.735 0.26 1.5
## delightful        10 0.76  0.44 0.772 0.23 1.6
## creative           9 0.75  0.06 0.571 0.43 1.0
## beautiful          5 0.75  0.42 0.737 0.26 1.6
## fascinating       15 0.74  0.29 0.637 0.36 1.3
## likable           19 0.74  0.49 0.785 0.21 1.7
## pleasing          24 0.74  0.48 0.777 0.22 1.7
## enjoyable         13 0.73  0.49 0.772 0.23 1.7
## lovely            20 0.73  0.46 0.737 0.26 1.7
## exciting          14 0.71  0.33 0.616 0.38 1.4
## nice              22 0.71  0.42 0.676 0.32 1.6
## attractive         3 0.70  0.51 0.758 0.24 1.8
## satisfying        28 0.70  0.52 0.761 0.24 1.9
## appealing          1 0.69  0.53 0.765 0.23 1.9
## interesting       17 0.68  0.30 0.555 0.44 1.4
## engaging          12 0.64  0.42 0.586 0.41 1.7
## inviting          18 0.61  0.48 0.601 0.40 1.9
## elegant           11 0.60  0.54 0.652 0.35 2.0
## motivating        21 0.60  0.39 0.510 0.49 1.7
## tasteful          30 0.59  0.47 0.575 0.42 1.9
## sophisticated     29 0.59  0.47 0.565 0.44 1.9
## harmonious        16 0.58  0.56 0.649 0.35 2.0
## colorHarmonious    8 0.52  0.34 0.383 0.62 1.7
## provoking         27 0.42 -0.02 0.174 0.83 1.0
## organized         23 0.25  0.80 0.701 0.30 1.2
## clean              6 0.36  0.72 0.652 0.35 1.5
## professional      26 0.32  0.72 0.623 0.38 1.4
## balanced           4 0.36  0.64 0.542 0.46 1.6
## wellDesigned      31 0.57  0.61 0.693 0.31 2.0
## cluttered          7 0.09 -0.21 0.054 0.95 1.4
## 
##                         PA1  PA2
## SS loadings           12.35 6.97
## Proportion Var         0.40 0.22
## Cumulative Var         0.40 0.62
## Proportion Explained   0.64 0.36
## Cumulative Proportion  0.64 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  31.16
## The degrees of freedom for the model are 404  and the objective function was  4.21 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.92
## Multiple R square of scores with factors          0.92 0.85
## Minimum correlation of possible factor scores     0.83 0.71
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## artistic           2  1.01 -0.34 0.699 0.30 1.2
## creative           9  0.90 -0.27 0.571 0.43 1.2
## fascinating       15  0.79  0.02 0.637 0.36 1.0
## pretty            25  0.77  0.13 0.735 0.26 1.1
## delightful        10  0.74  0.19 0.772 0.23 1.1
## beautiful          5  0.74  0.17 0.737 0.26 1.1
## exciting          14  0.74  0.07 0.616 0.38 1.0
## interesting       17  0.71  0.05 0.555 0.44 1.0
## pleasing          24  0.70  0.25 0.777 0.22 1.2
## likable           19  0.70  0.26 0.785 0.21 1.3
## lovely            20  0.70  0.22 0.737 0.26 1.2
## nice              22  0.69  0.19 0.676 0.32 1.1
## enjoyable         13  0.69  0.26 0.772 0.23 1.3
## attractive         3  0.64  0.30 0.758 0.24 1.4
## satisfying        28  0.63  0.32 0.761 0.24 1.5
## appealing          1  0.62  0.33 0.765 0.23 1.5
## engaging          12  0.60  0.22 0.586 0.41 1.3
## motivating        21  0.57  0.19 0.510 0.49 1.2
## inviting          18  0.54  0.30 0.601 0.40 1.6
## tasteful          30  0.53  0.30 0.575 0.42 1.6
## provoking         27  0.52 -0.22 0.174 0.83 1.3
## sophisticated     29  0.52  0.30 0.565 0.44 1.6
## elegant           11  0.51  0.38 0.652 0.35 1.8
## colorHarmonious    8  0.49  0.18 0.383 0.62 1.3
## harmonious        16  0.47  0.42 0.649 0.35 2.0
## organized         23 -0.04  0.87 0.701 0.30 1.0
## professional      26  0.08  0.74 0.623 0.38 1.0
## clean              6  0.13  0.72 0.652 0.35 1.1
## balanced           4  0.16  0.62 0.542 0.46 1.1
## wellDesigned      31  0.43  0.49 0.693 0.31 2.0
## cluttered          7  0.21 -0.30 0.054 0.95 1.8
## 
##                         PA1  PA2
## SS loadings           13.40 5.92
## Proportion Var         0.43 0.19
## Cumulative Var         0.43 0.62
## Proportion Explained   0.69 0.31
## Cumulative Proportion  0.69 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.64
## PA2 0.64 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  31.16
## The degrees of freedom for the model are 404  and the objective function was  4.21 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.96
## Multiple R square of scores with factors          0.97 0.92
## Minimum correlation of possible factor scores     0.94 0.84

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V   PA1     h2   u2 com
## likable         19  0.89 0.7856 0.21   1
## pleasing        24  0.88 0.7768 0.22   1
## enjoyable       13  0.88 0.7728 0.23   1
## delightful      10  0.88 0.7665 0.23   1
## appealing        1  0.88 0.7658 0.23   1
## satisfying      28  0.87 0.7625 0.24   1
## attractive       3  0.87 0.7591 0.24   1
## lovely          20  0.86 0.7360 0.26   1
## beautiful        5  0.85 0.7302 0.27   1
## pretty          25  0.85 0.7196 0.28   1
## nice            22  0.82 0.6727 0.33   1
## wellDesigned    31  0.81 0.6639 0.34   1
## elegant         11  0.80 0.6454 0.35   1
## harmonious      16  0.80 0.6356 0.36   1
## inviting        18  0.78 0.6007 0.40   1
## fascinating     15  0.77 0.5983 0.40   1
## exciting        14  0.77 0.5939 0.41   1
## engaging        12  0.77 0.5864 0.41   1
## tasteful        30  0.76 0.5750 0.42   1
## sophisticated   29  0.75 0.5642 0.44   1
## interesting     17  0.73 0.5309 0.47   1
## motivating      21  0.71 0.5097 0.49   1
## clean            6  0.71 0.5007 0.50   1
## artistic         2  0.69 0.4813 0.52   1
## professional    26  0.67 0.4544 0.55   1
## balanced         4  0.66 0.4393 0.56   1
## organized       23  0.66 0.4316 0.57   1
## creative         9  0.64 0.4139 0.59   1
## colorHarmonious  8  0.62 0.3830 0.62   1
## provoking       27  0.32 0.1052 0.89   1
## cluttered        7 -0.05 0.0025 1.00   1
## 
##                  PA1
## SS loadings    17.96
## Proportion Var  0.58
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  31.16
## The degrees of freedom for the model are 434  and the objective function was  5.62 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1   PA2    h2   u2 com
## artistic           2 0.84  0.04 0.699 0.30 1.0
## pretty            25 0.76  0.39 0.735 0.26 1.5
## delightful        10 0.76  0.44 0.772 0.23 1.6
## creative           9 0.75  0.06 0.571 0.43 1.0
## beautiful          5 0.75  0.42 0.737 0.26 1.6
## fascinating       15 0.74  0.29 0.637 0.36 1.3
## likable           19 0.74  0.49 0.785 0.21 1.7
## pleasing          24 0.74  0.48 0.777 0.22 1.7
## enjoyable         13 0.73  0.49 0.772 0.23 1.7
## lovely            20 0.73  0.46 0.737 0.26 1.7
## exciting          14 0.71  0.33 0.616 0.38 1.4
## nice              22 0.71  0.42 0.676 0.32 1.6
## attractive         3 0.70  0.51 0.758 0.24 1.8
## satisfying        28 0.70  0.52 0.761 0.24 1.9
## appealing          1 0.69  0.53 0.765 0.23 1.9
## interesting       17 0.68  0.30 0.555 0.44 1.4
## engaging          12 0.64  0.42 0.586 0.41 1.7
## inviting          18 0.61  0.48 0.601 0.40 1.9
## elegant           11 0.60  0.54 0.652 0.35 2.0
## motivating        21 0.60  0.39 0.510 0.49 1.7
## tasteful          30 0.59  0.47 0.575 0.42 1.9
## sophisticated     29 0.59  0.47 0.565 0.44 1.9
## harmonious        16 0.58  0.56 0.649 0.35 2.0
## colorHarmonious    8 0.52  0.34 0.383 0.62 1.7
## provoking         27 0.42 -0.02 0.174 0.83 1.0
## organized         23 0.25  0.80 0.701 0.30 1.2
## clean              6 0.36  0.72 0.652 0.35 1.5
## professional      26 0.32  0.72 0.623 0.38 1.4
## balanced           4 0.36  0.64 0.542 0.46 1.6
## wellDesigned      31 0.57  0.61 0.693 0.31 2.0
## cluttered          7 0.09 -0.21 0.054 0.95 1.4
## 
##                         PA1  PA2
## SS loadings           12.35 6.97
## Proportion Var         0.40 0.22
## Cumulative Var         0.40 0.62
## Proportion Explained   0.64 0.36
## Cumulative Proportion  0.64 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  31.16
## The degrees of freedom for the model are 404  and the objective function was  4.21 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.92
## Multiple R square of scores with factors          0.92 0.85
## Minimum correlation of possible factor scores     0.83 0.71
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## artistic           2  1.01 -0.34 0.699 0.30 1.2
## creative           9  0.90 -0.27 0.571 0.43 1.2
## fascinating       15  0.79  0.02 0.637 0.36 1.0
## pretty            25  0.77  0.13 0.735 0.26 1.1
## delightful        10  0.74  0.19 0.772 0.23 1.1
## beautiful          5  0.74  0.17 0.737 0.26 1.1
## exciting          14  0.74  0.07 0.616 0.38 1.0
## interesting       17  0.71  0.05 0.555 0.44 1.0
## pleasing          24  0.70  0.25 0.777 0.22 1.2
## likable           19  0.70  0.26 0.785 0.21 1.3
## lovely            20  0.70  0.22 0.737 0.26 1.2
## nice              22  0.69  0.19 0.676 0.32 1.1
## enjoyable         13  0.69  0.26 0.772 0.23 1.3
## attractive         3  0.64  0.30 0.758 0.24 1.4
## satisfying        28  0.63  0.32 0.761 0.24 1.5
## appealing          1  0.62  0.33 0.765 0.23 1.5
## engaging          12  0.60  0.22 0.586 0.41 1.3
## motivating        21  0.57  0.19 0.510 0.49 1.2
## inviting          18  0.54  0.30 0.601 0.40 1.6
## tasteful          30  0.53  0.30 0.575 0.42 1.6
## provoking         27  0.52 -0.22 0.174 0.83 1.3
## sophisticated     29  0.52  0.30 0.565 0.44 1.6
## elegant           11  0.51  0.38 0.652 0.35 1.8
## colorHarmonious    8  0.49  0.18 0.383 0.62 1.3
## harmonious        16  0.47  0.42 0.649 0.35 2.0
## organized         23 -0.04  0.87 0.701 0.30 1.0
## professional      26  0.08  0.74 0.623 0.38 1.0
## clean              6  0.13  0.72 0.652 0.35 1.1
## balanced           4  0.16  0.62 0.542 0.46 1.1
## wellDesigned      31  0.43  0.49 0.693 0.31 2.0
## cluttered          7  0.21 -0.30 0.054 0.95 1.8
## 
##                         PA1  PA2
## SS loadings           13.40 5.92
## Proportion Var         0.43 0.19
## Cumulative Var         0.43 0.62
## Proportion Explained   0.69 0.31
## Cumulative Proportion  0.69 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.64
## PA2 0.64 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  31.16
## The degrees of freedom for the model are 404  and the objective function was  4.21 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.96
## Multiple R square of scores with factors          0.97 0.92
## Minimum correlation of possible factor scores     0.94 0.84

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V   PA1     h2   u2 com
## likable         19  0.89 0.7856 0.21   1
## pleasing        24  0.88 0.7768 0.22   1
## enjoyable       13  0.88 0.7728 0.23   1
## delightful      10  0.88 0.7665 0.23   1
## appealing        1  0.88 0.7658 0.23   1
## satisfying      28  0.87 0.7625 0.24   1
## attractive       3  0.87 0.7591 0.24   1
## lovely          20  0.86 0.7360 0.26   1
## beautiful        5  0.85 0.7302 0.27   1
## pretty          25  0.85 0.7196 0.28   1
## nice            22  0.82 0.6727 0.33   1
## wellDesigned    31  0.81 0.6639 0.34   1
## elegant         11  0.80 0.6454 0.35   1
## harmonious      16  0.80 0.6356 0.36   1
## inviting        18  0.78 0.6007 0.40   1
## fascinating     15  0.77 0.5983 0.40   1
## exciting        14  0.77 0.5939 0.41   1
## engaging        12  0.77 0.5864 0.41   1
## tasteful        30  0.76 0.5750 0.42   1
## sophisticated   29  0.75 0.5642 0.44   1
## interesting     17  0.73 0.5309 0.47   1
## motivating      21  0.71 0.5097 0.49   1
## clean            6  0.71 0.5007 0.50   1
## artistic         2  0.69 0.4813 0.52   1
## professional    26  0.67 0.4544 0.55   1
## balanced         4  0.66 0.4393 0.56   1
## organized       23  0.66 0.4316 0.57   1
## creative         9  0.64 0.4139 0.59   1
## colorHarmonious  8  0.62 0.3830 0.62   1
## provoking       27  0.32 0.1052 0.89   1
## cluttered        7 -0.05 0.0025 1.00   1
## 
##                  PA1
## SS loadings    17.96
## Proportion Var  0.58
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  31.16
## The degrees of freedom for the model are 434  and the objective function was  5.62 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1   PA2    h2   u2 com
## artistic           2 0.84  0.04 0.699 0.30 1.0
## pretty            25 0.76  0.39 0.735 0.26 1.5
## delightful        10 0.76  0.44 0.772 0.23 1.6
## creative           9 0.75  0.06 0.571 0.43 1.0
## beautiful          5 0.75  0.42 0.737 0.26 1.6
## fascinating       15 0.74  0.29 0.637 0.36 1.3
## likable           19 0.74  0.49 0.785 0.21 1.7
## pleasing          24 0.74  0.48 0.777 0.22 1.7
## enjoyable         13 0.73  0.49 0.772 0.23 1.7
## lovely            20 0.73  0.46 0.737 0.26 1.7
## exciting          14 0.71  0.33 0.616 0.38 1.4
## nice              22 0.71  0.42 0.676 0.32 1.6
## attractive         3 0.70  0.51 0.758 0.24 1.8
## satisfying        28 0.70  0.52 0.761 0.24 1.9
## appealing          1 0.69  0.53 0.765 0.23 1.9
## interesting       17 0.68  0.30 0.555 0.44 1.4
## engaging          12 0.64  0.42 0.586 0.41 1.7
## inviting          18 0.61  0.48 0.601 0.40 1.9
## elegant           11 0.60  0.54 0.652 0.35 2.0
## motivating        21 0.60  0.39 0.510 0.49 1.7
## tasteful          30 0.59  0.47 0.575 0.42 1.9
## sophisticated     29 0.59  0.47 0.565 0.44 1.9
## harmonious        16 0.58  0.56 0.649 0.35 2.0
## colorHarmonious    8 0.52  0.34 0.383 0.62 1.7
## provoking         27 0.42 -0.02 0.174 0.83 1.0
## organized         23 0.25  0.80 0.701 0.30 1.2
## clean              6 0.36  0.72 0.652 0.35 1.5
## professional      26 0.32  0.72 0.623 0.38 1.4
## balanced           4 0.36  0.64 0.542 0.46 1.6
## wellDesigned      31 0.57  0.61 0.693 0.31 2.0
## cluttered          7 0.09 -0.21 0.054 0.95 1.4
## 
##                         PA1  PA2
## SS loadings           12.35 6.97
## Proportion Var         0.40 0.22
## Cumulative Var         0.40 0.62
## Proportion Explained   0.64 0.36
## Cumulative Proportion  0.64 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  31.16
## The degrees of freedom for the model are 404  and the objective function was  4.21 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.92
## Multiple R square of scores with factors          0.92 0.85
## Minimum correlation of possible factor scores     0.83 0.71
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## artistic           2  1.01 -0.34 0.699 0.30 1.2
## creative           9  0.90 -0.27 0.571 0.43 1.2
## fascinating       15  0.79  0.02 0.637 0.36 1.0
## pretty            25  0.77  0.13 0.735 0.26 1.1
## delightful        10  0.74  0.19 0.772 0.23 1.1
## beautiful          5  0.74  0.17 0.737 0.26 1.1
## exciting          14  0.74  0.07 0.616 0.38 1.0
## interesting       17  0.71  0.05 0.555 0.44 1.0
## pleasing          24  0.70  0.25 0.777 0.22 1.2
## likable           19  0.70  0.26 0.785 0.21 1.3
## lovely            20  0.70  0.22 0.737 0.26 1.2
## nice              22  0.69  0.19 0.676 0.32 1.1
## enjoyable         13  0.69  0.26 0.772 0.23 1.3
## attractive         3  0.64  0.30 0.758 0.24 1.4
## satisfying        28  0.63  0.32 0.761 0.24 1.5
## appealing          1  0.62  0.33 0.765 0.23 1.5
## engaging          12  0.60  0.22 0.586 0.41 1.3
## motivating        21  0.57  0.19 0.510 0.49 1.2
## inviting          18  0.54  0.30 0.601 0.40 1.6
## tasteful          30  0.53  0.30 0.575 0.42 1.6
## provoking         27  0.52 -0.22 0.174 0.83 1.3
## sophisticated     29  0.52  0.30 0.565 0.44 1.6
## elegant           11  0.51  0.38 0.652 0.35 1.8
## colorHarmonious    8  0.49  0.18 0.383 0.62 1.3
## harmonious        16  0.47  0.42 0.649 0.35 2.0
## organized         23 -0.04  0.87 0.701 0.30 1.0
## professional      26  0.08  0.74 0.623 0.38 1.0
## clean              6  0.13  0.72 0.652 0.35 1.1
## balanced           4  0.16  0.62 0.542 0.46 1.1
## wellDesigned      31  0.43  0.49 0.693 0.31 2.0
## cluttered          7  0.21 -0.30 0.054 0.95 1.8
## 
##                         PA1  PA2
## SS loadings           13.40 5.92
## Proportion Var         0.43 0.19
## Cumulative Var         0.43 0.62
## Proportion Explained   0.69 0.31
## Cumulative Proportion  0.69 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.64
## PA2 0.64 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  31.16
## The degrees of freedom for the model are 404  and the objective function was  4.21 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.96
## Multiple R square of scores with factors          0.97 0.92
## Minimum correlation of possible factor scores     0.94 0.84
## 
## 
## ## Image  13

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## nice            22 0.89 0.795 0.21   1
## delightful      10 0.89 0.792 0.21   1
## appealing        1 0.88 0.777 0.22   1
## likable         19 0.87 0.759 0.24   1
## pleasing        24 0.87 0.759 0.24   1
## attractive       3 0.86 0.732 0.27   1
## satisfying      28 0.85 0.729 0.27   1
## inviting        18 0.84 0.702 0.30   1
## enjoyable       13 0.83 0.696 0.30   1
## motivating      21 0.83 0.690 0.31   1
## lovely          20 0.83 0.683 0.32   1
## pretty          25 0.83 0.681 0.32   1
## tasteful        30 0.81 0.663 0.34   1
## wellDesigned    31 0.81 0.653 0.35   1
## engaging        12 0.80 0.646 0.35   1
## exciting        14 0.79 0.617 0.38   1
## elegant         11 0.78 0.616 0.38   1
## beautiful        5 0.78 0.615 0.38   1
## harmonious      16 0.76 0.582 0.42   1
## fascinating     15 0.76 0.576 0.42   1
## interesting     17 0.74 0.543 0.46   1
## sophisticated   29 0.71 0.503 0.50   1
## balanced         4 0.68 0.463 0.54   1
## professional    26 0.67 0.455 0.54   1
## organized       23 0.65 0.428 0.57   1
## clean            6 0.63 0.391 0.61   1
## creative         9 0.58 0.333 0.67   1
## artistic         2 0.55 0.304 0.70   1
## colorHarmonious  8 0.43 0.184 0.82   1
## provoking       27 0.22 0.049 0.95   1
## cluttered        7 0.12 0.015 0.99   1
## 
##                  PA1
## SS loadings    17.43
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.41
## The degrees of freedom for the model are 434  and the objective function was  5.77 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## pretty            25 0.79 0.35 0.751 0.25 1.4
## fascinating       15 0.74 0.30 0.644 0.36 1.3
## exciting          14 0.73 0.36 0.660 0.34 1.5
## lovely            20 0.72 0.42 0.706 0.29 1.6
## nice              22 0.72 0.53 0.799 0.20 1.8
## artistic           2 0.71 0.03 0.505 0.49 1.0
## pleasing          24 0.70 0.52 0.762 0.24 1.8
## interesting       17 0.70 0.32 0.591 0.41 1.4
## beautiful          5 0.70 0.39 0.641 0.36 1.6
## satisfying        28 0.67 0.53 0.728 0.27 1.9
## delightful        10 0.67 0.59 0.790 0.21 2.0
## appealing          1 0.67 0.57 0.775 0.22 2.0
## attractive         3 0.66 0.54 0.731 0.27 1.9
## enjoyable         13 0.66 0.51 0.696 0.30 1.9
## creative           9 0.65 0.13 0.444 0.56 1.1
## likable           19 0.65 0.58 0.758 0.24 2.0
## motivating        21 0.64 0.53 0.688 0.31 1.9
## engaging          12 0.62 0.51 0.645 0.36 1.9
## tasteful          30 0.59 0.56 0.663 0.34 2.0
## sophisticated     29 0.57 0.42 0.505 0.50 1.8
## elegant           11 0.56 0.55 0.618 0.38 2.0
## colorHarmonious    8 0.31 0.29 0.184 0.82 2.0
## provoking         27 0.20 0.11 0.051 0.95 1.5
## organized         23 0.19 0.79 0.660 0.34 1.1
## balanced           4 0.24 0.77 0.654 0.35 1.2
## wellDesigned      31 0.43 0.75 0.740 0.26 1.6
## clean              6 0.22 0.72 0.560 0.44 1.2
## harmonious        16 0.42 0.69 0.647 0.35 1.6
## professional      26 0.32 0.66 0.545 0.46 1.4
## inviting          18 0.56 0.64 0.716 0.28 2.0
## cluttered          7 0.04 0.14 0.020 0.98 1.2
## 
##                         PA1  PA2
## SS loadings           10.62 8.25
## Proportion Var         0.34 0.27
## Cumulative Var         0.34 0.61
## Proportion Explained   0.56 0.44
## Cumulative Proportion  0.56 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.41
## The degrees of freedom for the model are 404  and the objective function was  4.11 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.93
## Multiple R square of scores with factors          0.90 0.87
## Minimum correlation of possible factor scores     0.80 0.75
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## artistic           2  0.96 -0.41 0.505 0.49 1.3
## pretty            25  0.88 -0.02 0.751 0.25 1.0
## fascinating       15  0.84 -0.05 0.644 0.36 1.0
## creative           9  0.82 -0.23 0.444 0.56 1.2
## exciting          14  0.78  0.04 0.660 0.34 1.0
## interesting       17  0.77  0.00 0.591 0.41 1.0
## lovely            20  0.74  0.13 0.706 0.29 1.1
## beautiful          5  0.72  0.10 0.641 0.36 1.0
## nice              22  0.67  0.27 0.799 0.20 1.3
## pleasing          24  0.65  0.27 0.762 0.24 1.3
## satisfying        28  0.60  0.31 0.728 0.27 1.5
## enjoyable         13  0.59  0.29 0.696 0.30 1.5
## attractive         3  0.58  0.33 0.731 0.27 1.6
## appealing          1  0.57  0.37 0.775 0.22 1.7
## delightful        10  0.56  0.39 0.790 0.21 1.8
## motivating        21  0.55  0.33 0.688 0.31 1.6
## engaging          12  0.53  0.32 0.645 0.36 1.6
## likable           19  0.53  0.40 0.758 0.24 1.8
## sophisticated     29  0.53  0.22 0.505 0.50 1.3
## tasteful          30  0.47  0.40 0.663 0.34 1.9
## elegant           11  0.43  0.41 0.618 0.38 2.0
## colorHarmonious    8  0.25  0.20 0.184 0.82 1.9
## provoking         27  0.21  0.02 0.051 0.95 1.0
## organized         23 -0.22  0.96 0.660 0.34 1.1
## balanced           4 -0.14  0.91 0.654 0.35 1.0
## clean              6 -0.15  0.85 0.560 0.44 1.1
## wellDesigned      31  0.13  0.76 0.740 0.26 1.1
## professional      26  0.03  0.71 0.545 0.46 1.0
## harmonious        16  0.15  0.69 0.647 0.35 1.1
## inviting          18  0.37  0.53 0.716 0.28 1.8
## cluttered          7 -0.03  0.16 0.020 0.98 1.1
## 
##                         PA1  PA2
## SS loadings           11.31 7.56
## Proportion Var         0.36 0.24
## Cumulative Var         0.36 0.61
## Proportion Explained   0.60 0.40
## Cumulative Proportion  0.60 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.75
## PA2 0.75 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.41
## The degrees of freedom for the model are 404  and the objective function was  4.11 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.95
## Minimum correlation of possible factor scores     0.94 0.90

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## nice            22 0.89 0.795 0.21   1
## delightful      10 0.89 0.792 0.21   1
## appealing        1 0.88 0.777 0.22   1
## likable         19 0.87 0.759 0.24   1
## pleasing        24 0.87 0.759 0.24   1
## attractive       3 0.86 0.732 0.27   1
## satisfying      28 0.85 0.729 0.27   1
## inviting        18 0.84 0.702 0.30   1
## enjoyable       13 0.83 0.696 0.30   1
## motivating      21 0.83 0.690 0.31   1
## lovely          20 0.83 0.683 0.32   1
## pretty          25 0.83 0.681 0.32   1
## tasteful        30 0.81 0.663 0.34   1
## wellDesigned    31 0.81 0.653 0.35   1
## engaging        12 0.80 0.646 0.35   1
## exciting        14 0.79 0.617 0.38   1
## elegant         11 0.78 0.616 0.38   1
## beautiful        5 0.78 0.615 0.38   1
## harmonious      16 0.76 0.582 0.42   1
## fascinating     15 0.76 0.576 0.42   1
## interesting     17 0.74 0.543 0.46   1
## sophisticated   29 0.71 0.503 0.50   1
## balanced         4 0.68 0.463 0.54   1
## professional    26 0.67 0.455 0.54   1
## organized       23 0.65 0.428 0.57   1
## clean            6 0.63 0.391 0.61   1
## creative         9 0.58 0.333 0.67   1
## artistic         2 0.55 0.304 0.70   1
## colorHarmonious  8 0.43 0.184 0.82   1
## provoking       27 0.22 0.049 0.95   1
## cluttered        7 0.12 0.015 0.99   1
## 
##                  PA1
## SS loadings    17.43
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.41
## The degrees of freedom for the model are 434  and the objective function was  5.77 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## pretty            25 0.79 0.35 0.751 0.25 1.4
## fascinating       15 0.74 0.30 0.644 0.36 1.3
## exciting          14 0.73 0.36 0.660 0.34 1.5
## lovely            20 0.72 0.42 0.706 0.29 1.6
## nice              22 0.72 0.53 0.799 0.20 1.8
## artistic           2 0.71 0.03 0.505 0.49 1.0
## pleasing          24 0.70 0.52 0.762 0.24 1.8
## interesting       17 0.70 0.32 0.591 0.41 1.4
## beautiful          5 0.70 0.39 0.641 0.36 1.6
## satisfying        28 0.67 0.53 0.728 0.27 1.9
## delightful        10 0.67 0.59 0.790 0.21 2.0
## appealing          1 0.67 0.57 0.775 0.22 2.0
## attractive         3 0.66 0.54 0.731 0.27 1.9
## enjoyable         13 0.66 0.51 0.696 0.30 1.9
## creative           9 0.65 0.13 0.444 0.56 1.1
## likable           19 0.65 0.58 0.758 0.24 2.0
## motivating        21 0.64 0.53 0.688 0.31 1.9
## engaging          12 0.62 0.51 0.645 0.36 1.9
## tasteful          30 0.59 0.56 0.663 0.34 2.0
## sophisticated     29 0.57 0.42 0.505 0.50 1.8
## elegant           11 0.56 0.55 0.618 0.38 2.0
## colorHarmonious    8 0.31 0.29 0.184 0.82 2.0
## provoking         27 0.20 0.11 0.051 0.95 1.5
## organized         23 0.19 0.79 0.660 0.34 1.1
## balanced           4 0.24 0.77 0.654 0.35 1.2
## wellDesigned      31 0.43 0.75 0.740 0.26 1.6
## clean              6 0.22 0.72 0.560 0.44 1.2
## harmonious        16 0.42 0.69 0.647 0.35 1.6
## professional      26 0.32 0.66 0.545 0.46 1.4
## inviting          18 0.56 0.64 0.716 0.28 2.0
## cluttered          7 0.04 0.14 0.020 0.98 1.2
## 
##                         PA1  PA2
## SS loadings           10.62 8.25
## Proportion Var         0.34 0.27
## Cumulative Var         0.34 0.61
## Proportion Explained   0.56 0.44
## Cumulative Proportion  0.56 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.41
## The degrees of freedom for the model are 404  and the objective function was  4.11 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.93
## Multiple R square of scores with factors          0.90 0.87
## Minimum correlation of possible factor scores     0.80 0.75
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## artistic           2  0.96 -0.41 0.505 0.49 1.3
## pretty            25  0.88 -0.02 0.751 0.25 1.0
## fascinating       15  0.84 -0.05 0.644 0.36 1.0
## creative           9  0.82 -0.23 0.444 0.56 1.2
## exciting          14  0.78  0.04 0.660 0.34 1.0
## interesting       17  0.77  0.00 0.591 0.41 1.0
## lovely            20  0.74  0.13 0.706 0.29 1.1
## beautiful          5  0.72  0.10 0.641 0.36 1.0
## nice              22  0.67  0.27 0.799 0.20 1.3
## pleasing          24  0.65  0.27 0.762 0.24 1.3
## satisfying        28  0.60  0.31 0.728 0.27 1.5
## enjoyable         13  0.59  0.29 0.696 0.30 1.5
## attractive         3  0.58  0.33 0.731 0.27 1.6
## appealing          1  0.57  0.37 0.775 0.22 1.7
## delightful        10  0.56  0.39 0.790 0.21 1.8
## motivating        21  0.55  0.33 0.688 0.31 1.6
## engaging          12  0.53  0.32 0.645 0.36 1.6
## likable           19  0.53  0.40 0.758 0.24 1.8
## sophisticated     29  0.53  0.22 0.505 0.50 1.3
## tasteful          30  0.47  0.40 0.663 0.34 1.9
## elegant           11  0.43  0.41 0.618 0.38 2.0
## colorHarmonious    8  0.25  0.20 0.184 0.82 1.9
## provoking         27  0.21  0.02 0.051 0.95 1.0
## organized         23 -0.22  0.96 0.660 0.34 1.1
## balanced           4 -0.14  0.91 0.654 0.35 1.0
## clean              6 -0.15  0.85 0.560 0.44 1.1
## wellDesigned      31  0.13  0.76 0.740 0.26 1.1
## professional      26  0.03  0.71 0.545 0.46 1.0
## harmonious        16  0.15  0.69 0.647 0.35 1.1
## inviting          18  0.37  0.53 0.716 0.28 1.8
## cluttered          7 -0.03  0.16 0.020 0.98 1.1
## 
##                         PA1  PA2
## SS loadings           11.31 7.56
## Proportion Var         0.36 0.24
## Cumulative Var         0.36 0.61
## Proportion Explained   0.60 0.40
## Cumulative Proportion  0.60 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.75
## PA2 0.75 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.41
## The degrees of freedom for the model are 404  and the objective function was  4.11 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.95
## Minimum correlation of possible factor scores     0.94 0.90

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## nice            22 0.89 0.795 0.21   1
## delightful      10 0.89 0.792 0.21   1
## appealing        1 0.88 0.777 0.22   1
## likable         19 0.87 0.759 0.24   1
## pleasing        24 0.87 0.759 0.24   1
## attractive       3 0.86 0.732 0.27   1
## satisfying      28 0.85 0.729 0.27   1
## inviting        18 0.84 0.702 0.30   1
## enjoyable       13 0.83 0.696 0.30   1
## motivating      21 0.83 0.690 0.31   1
## lovely          20 0.83 0.683 0.32   1
## pretty          25 0.83 0.681 0.32   1
## tasteful        30 0.81 0.663 0.34   1
## wellDesigned    31 0.81 0.653 0.35   1
## engaging        12 0.80 0.646 0.35   1
## exciting        14 0.79 0.617 0.38   1
## elegant         11 0.78 0.616 0.38   1
## beautiful        5 0.78 0.615 0.38   1
## harmonious      16 0.76 0.582 0.42   1
## fascinating     15 0.76 0.576 0.42   1
## interesting     17 0.74 0.543 0.46   1
## sophisticated   29 0.71 0.503 0.50   1
## balanced         4 0.68 0.463 0.54   1
## professional    26 0.67 0.455 0.54   1
## organized       23 0.65 0.428 0.57   1
## clean            6 0.63 0.391 0.61   1
## creative         9 0.58 0.333 0.67   1
## artistic         2 0.55 0.304 0.70   1
## colorHarmonious  8 0.43 0.184 0.82   1
## provoking       27 0.22 0.049 0.95   1
## cluttered        7 0.12 0.015 0.99   1
## 
##                  PA1
## SS loadings    17.43
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.41
## The degrees of freedom for the model are 434  and the objective function was  5.77 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## pretty            25 0.79 0.35 0.751 0.25 1.4
## fascinating       15 0.74 0.30 0.644 0.36 1.3
## exciting          14 0.73 0.36 0.660 0.34 1.5
## lovely            20 0.72 0.42 0.706 0.29 1.6
## nice              22 0.72 0.53 0.799 0.20 1.8
## artistic           2 0.71 0.03 0.505 0.49 1.0
## pleasing          24 0.70 0.52 0.762 0.24 1.8
## interesting       17 0.70 0.32 0.591 0.41 1.4
## beautiful          5 0.70 0.39 0.641 0.36 1.6
## satisfying        28 0.67 0.53 0.728 0.27 1.9
## delightful        10 0.67 0.59 0.790 0.21 2.0
## appealing          1 0.67 0.57 0.775 0.22 2.0
## attractive         3 0.66 0.54 0.731 0.27 1.9
## enjoyable         13 0.66 0.51 0.696 0.30 1.9
## creative           9 0.65 0.13 0.444 0.56 1.1
## likable           19 0.65 0.58 0.758 0.24 2.0
## motivating        21 0.64 0.53 0.688 0.31 1.9
## engaging          12 0.62 0.51 0.645 0.36 1.9
## tasteful          30 0.59 0.56 0.663 0.34 2.0
## sophisticated     29 0.57 0.42 0.505 0.50 1.8
## elegant           11 0.56 0.55 0.618 0.38 2.0
## colorHarmonious    8 0.31 0.29 0.184 0.82 2.0
## provoking         27 0.20 0.11 0.051 0.95 1.5
## organized         23 0.19 0.79 0.660 0.34 1.1
## balanced           4 0.24 0.77 0.654 0.35 1.2
## wellDesigned      31 0.43 0.75 0.740 0.26 1.6
## clean              6 0.22 0.72 0.560 0.44 1.2
## harmonious        16 0.42 0.69 0.647 0.35 1.6
## professional      26 0.32 0.66 0.545 0.46 1.4
## inviting          18 0.56 0.64 0.716 0.28 2.0
## cluttered          7 0.04 0.14 0.020 0.98 1.2
## 
##                         PA1  PA2
## SS loadings           10.62 8.25
## Proportion Var         0.34 0.27
## Cumulative Var         0.34 0.61
## Proportion Explained   0.56 0.44
## Cumulative Proportion  0.56 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.41
## The degrees of freedom for the model are 404  and the objective function was  4.11 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.93
## Multiple R square of scores with factors          0.90 0.87
## Minimum correlation of possible factor scores     0.80 0.75
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## artistic           2  0.96 -0.41 0.505 0.49 1.3
## pretty            25  0.88 -0.02 0.751 0.25 1.0
## fascinating       15  0.84 -0.05 0.644 0.36 1.0
## creative           9  0.82 -0.23 0.444 0.56 1.2
## exciting          14  0.78  0.04 0.660 0.34 1.0
## interesting       17  0.77  0.00 0.591 0.41 1.0
## lovely            20  0.74  0.13 0.706 0.29 1.1
## beautiful          5  0.72  0.10 0.641 0.36 1.0
## nice              22  0.67  0.27 0.799 0.20 1.3
## pleasing          24  0.65  0.27 0.762 0.24 1.3
## satisfying        28  0.60  0.31 0.728 0.27 1.5
## enjoyable         13  0.59  0.29 0.696 0.30 1.5
## attractive         3  0.58  0.33 0.731 0.27 1.6
## appealing          1  0.57  0.37 0.775 0.22 1.7
## delightful        10  0.56  0.39 0.790 0.21 1.8
## motivating        21  0.55  0.33 0.688 0.31 1.6
## engaging          12  0.53  0.32 0.645 0.36 1.6
## likable           19  0.53  0.40 0.758 0.24 1.8
## sophisticated     29  0.53  0.22 0.505 0.50 1.3
## tasteful          30  0.47  0.40 0.663 0.34 1.9
## elegant           11  0.43  0.41 0.618 0.38 2.0
## colorHarmonious    8  0.25  0.20 0.184 0.82 1.9
## provoking         27  0.21  0.02 0.051 0.95 1.0
## organized         23 -0.22  0.96 0.660 0.34 1.1
## balanced           4 -0.14  0.91 0.654 0.35 1.0
## clean              6 -0.15  0.85 0.560 0.44 1.1
## wellDesigned      31  0.13  0.76 0.740 0.26 1.1
## professional      26  0.03  0.71 0.545 0.46 1.0
## harmonious        16  0.15  0.69 0.647 0.35 1.1
## inviting          18  0.37  0.53 0.716 0.28 1.8
## cluttered          7 -0.03  0.16 0.020 0.98 1.1
## 
##                         PA1  PA2
## SS loadings           11.31 7.56
## Proportion Var         0.36 0.24
## Cumulative Var         0.36 0.61
## Proportion Explained   0.60 0.40
## Cumulative Proportion  0.60 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.75
## PA2 0.75 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.41
## The degrees of freedom for the model are 404  and the objective function was  4.11 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.95
## Minimum correlation of possible factor scores     0.94 0.90

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## nice            22 0.89 0.795 0.21   1
## delightful      10 0.89 0.792 0.21   1
## appealing        1 0.88 0.777 0.22   1
## likable         19 0.87 0.759 0.24   1
## pleasing        24 0.87 0.759 0.24   1
## attractive       3 0.86 0.732 0.27   1
## satisfying      28 0.85 0.729 0.27   1
## inviting        18 0.84 0.702 0.30   1
## enjoyable       13 0.83 0.696 0.30   1
## motivating      21 0.83 0.690 0.31   1
## lovely          20 0.83 0.683 0.32   1
## pretty          25 0.83 0.681 0.32   1
## tasteful        30 0.81 0.663 0.34   1
## wellDesigned    31 0.81 0.653 0.35   1
## engaging        12 0.80 0.646 0.35   1
## exciting        14 0.79 0.617 0.38   1
## elegant         11 0.78 0.616 0.38   1
## beautiful        5 0.78 0.615 0.38   1
## harmonious      16 0.76 0.582 0.42   1
## fascinating     15 0.76 0.576 0.42   1
## interesting     17 0.74 0.543 0.46   1
## sophisticated   29 0.71 0.503 0.50   1
## balanced         4 0.68 0.463 0.54   1
## professional    26 0.67 0.455 0.54   1
## organized       23 0.65 0.428 0.57   1
## clean            6 0.63 0.391 0.61   1
## creative         9 0.58 0.333 0.67   1
## artistic         2 0.55 0.304 0.70   1
## colorHarmonious  8 0.43 0.184 0.82   1
## provoking       27 0.22 0.049 0.95   1
## cluttered        7 0.12 0.015 0.99   1
## 
##                  PA1
## SS loadings    17.43
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.41
## The degrees of freedom for the model are 434  and the objective function was  5.77 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## pretty            25 0.79 0.35 0.751 0.25 1.4
## fascinating       15 0.74 0.30 0.644 0.36 1.3
## exciting          14 0.73 0.36 0.660 0.34 1.5
## lovely            20 0.72 0.42 0.706 0.29 1.6
## nice              22 0.72 0.53 0.799 0.20 1.8
## artistic           2 0.71 0.03 0.505 0.49 1.0
## pleasing          24 0.70 0.52 0.762 0.24 1.8
## interesting       17 0.70 0.32 0.591 0.41 1.4
## beautiful          5 0.70 0.39 0.641 0.36 1.6
## satisfying        28 0.67 0.53 0.728 0.27 1.9
## delightful        10 0.67 0.59 0.790 0.21 2.0
## appealing          1 0.67 0.57 0.775 0.22 2.0
## attractive         3 0.66 0.54 0.731 0.27 1.9
## enjoyable         13 0.66 0.51 0.696 0.30 1.9
## creative           9 0.65 0.13 0.444 0.56 1.1
## likable           19 0.65 0.58 0.758 0.24 2.0
## motivating        21 0.64 0.53 0.688 0.31 1.9
## engaging          12 0.62 0.51 0.645 0.36 1.9
## tasteful          30 0.59 0.56 0.663 0.34 2.0
## sophisticated     29 0.57 0.42 0.505 0.50 1.8
## elegant           11 0.56 0.55 0.618 0.38 2.0
## colorHarmonious    8 0.31 0.29 0.184 0.82 2.0
## provoking         27 0.20 0.11 0.051 0.95 1.5
## organized         23 0.19 0.79 0.660 0.34 1.1
## balanced           4 0.24 0.77 0.654 0.35 1.2
## wellDesigned      31 0.43 0.75 0.740 0.26 1.6
## clean              6 0.22 0.72 0.560 0.44 1.2
## harmonious        16 0.42 0.69 0.647 0.35 1.6
## professional      26 0.32 0.66 0.545 0.46 1.4
## inviting          18 0.56 0.64 0.716 0.28 2.0
## cluttered          7 0.04 0.14 0.020 0.98 1.2
## 
##                         PA1  PA2
## SS loadings           10.62 8.25
## Proportion Var         0.34 0.27
## Cumulative Var         0.34 0.61
## Proportion Explained   0.56 0.44
## Cumulative Proportion  0.56 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.41
## The degrees of freedom for the model are 404  and the objective function was  4.11 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.93
## Multiple R square of scores with factors          0.90 0.87
## Minimum correlation of possible factor scores     0.80 0.75
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## artistic           2  0.96 -0.41 0.505 0.49 1.3
## pretty            25  0.88 -0.02 0.751 0.25 1.0
## fascinating       15  0.84 -0.05 0.644 0.36 1.0
## creative           9  0.82 -0.23 0.444 0.56 1.2
## exciting          14  0.78  0.04 0.660 0.34 1.0
## interesting       17  0.77  0.00 0.591 0.41 1.0
## lovely            20  0.74  0.13 0.706 0.29 1.1
## beautiful          5  0.72  0.10 0.641 0.36 1.0
## nice              22  0.67  0.27 0.799 0.20 1.3
## pleasing          24  0.65  0.27 0.762 0.24 1.3
## satisfying        28  0.60  0.31 0.728 0.27 1.5
## enjoyable         13  0.59  0.29 0.696 0.30 1.5
## attractive         3  0.58  0.33 0.731 0.27 1.6
## appealing          1  0.57  0.37 0.775 0.22 1.7
## delightful        10  0.56  0.39 0.790 0.21 1.8
## motivating        21  0.55  0.33 0.688 0.31 1.6
## engaging          12  0.53  0.32 0.645 0.36 1.6
## likable           19  0.53  0.40 0.758 0.24 1.8
## sophisticated     29  0.53  0.22 0.505 0.50 1.3
## tasteful          30  0.47  0.40 0.663 0.34 1.9
## elegant           11  0.43  0.41 0.618 0.38 2.0
## colorHarmonious    8  0.25  0.20 0.184 0.82 1.9
## provoking         27  0.21  0.02 0.051 0.95 1.0
## organized         23 -0.22  0.96 0.660 0.34 1.1
## balanced           4 -0.14  0.91 0.654 0.35 1.0
## clean              6 -0.15  0.85 0.560 0.44 1.1
## wellDesigned      31  0.13  0.76 0.740 0.26 1.1
## professional      26  0.03  0.71 0.545 0.46 1.0
## harmonious        16  0.15  0.69 0.647 0.35 1.1
## inviting          18  0.37  0.53 0.716 0.28 1.8
## cluttered          7 -0.03  0.16 0.020 0.98 1.1
## 
##                         PA1  PA2
## SS loadings           11.31 7.56
## Proportion Var         0.36 0.24
## Cumulative Var         0.36 0.61
## Proportion Explained   0.60 0.40
## Cumulative Proportion  0.60 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.75
## PA2 0.75 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.41
## The degrees of freedom for the model are 404  and the objective function was  4.11 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.95
## Minimum correlation of possible factor scores     0.94 0.90

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## nice            22 0.89 0.795 0.21   1
## delightful      10 0.89 0.792 0.21   1
## appealing        1 0.88 0.777 0.22   1
## likable         19 0.87 0.759 0.24   1
## pleasing        24 0.87 0.759 0.24   1
## attractive       3 0.86 0.732 0.27   1
## satisfying      28 0.85 0.729 0.27   1
## inviting        18 0.84 0.702 0.30   1
## enjoyable       13 0.83 0.696 0.30   1
## motivating      21 0.83 0.690 0.31   1
## lovely          20 0.83 0.683 0.32   1
## pretty          25 0.83 0.681 0.32   1
## tasteful        30 0.81 0.663 0.34   1
## wellDesigned    31 0.81 0.653 0.35   1
## engaging        12 0.80 0.646 0.35   1
## exciting        14 0.79 0.617 0.38   1
## elegant         11 0.78 0.616 0.38   1
## beautiful        5 0.78 0.615 0.38   1
## harmonious      16 0.76 0.582 0.42   1
## fascinating     15 0.76 0.576 0.42   1
## interesting     17 0.74 0.543 0.46   1
## sophisticated   29 0.71 0.503 0.50   1
## balanced         4 0.68 0.463 0.54   1
## professional    26 0.67 0.455 0.54   1
## organized       23 0.65 0.428 0.57   1
## clean            6 0.63 0.391 0.61   1
## creative         9 0.58 0.333 0.67   1
## artistic         2 0.55 0.304 0.70   1
## colorHarmonious  8 0.43 0.184 0.82   1
## provoking       27 0.22 0.049 0.95   1
## cluttered        7 0.12 0.015 0.99   1
## 
##                  PA1
## SS loadings    17.43
## Proportion Var  0.56
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.41
## The degrees of freedom for the model are 434  and the objective function was  5.77 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1  PA2    h2   u2 com
## pretty            25 0.79 0.35 0.751 0.25 1.4
## fascinating       15 0.74 0.30 0.644 0.36 1.3
## exciting          14 0.73 0.36 0.660 0.34 1.5
## lovely            20 0.72 0.42 0.706 0.29 1.6
## nice              22 0.72 0.53 0.799 0.20 1.8
## artistic           2 0.71 0.03 0.505 0.49 1.0
## pleasing          24 0.70 0.52 0.762 0.24 1.8
## interesting       17 0.70 0.32 0.591 0.41 1.4
## beautiful          5 0.70 0.39 0.641 0.36 1.6
## satisfying        28 0.67 0.53 0.728 0.27 1.9
## delightful        10 0.67 0.59 0.790 0.21 2.0
## appealing          1 0.67 0.57 0.775 0.22 2.0
## attractive         3 0.66 0.54 0.731 0.27 1.9
## enjoyable         13 0.66 0.51 0.696 0.30 1.9
## creative           9 0.65 0.13 0.444 0.56 1.1
## likable           19 0.65 0.58 0.758 0.24 2.0
## motivating        21 0.64 0.53 0.688 0.31 1.9
## engaging          12 0.62 0.51 0.645 0.36 1.9
## tasteful          30 0.59 0.56 0.663 0.34 2.0
## sophisticated     29 0.57 0.42 0.505 0.50 1.8
## elegant           11 0.56 0.55 0.618 0.38 2.0
## colorHarmonious    8 0.31 0.29 0.184 0.82 2.0
## provoking         27 0.20 0.11 0.051 0.95 1.5
## organized         23 0.19 0.79 0.660 0.34 1.1
## balanced           4 0.24 0.77 0.654 0.35 1.2
## wellDesigned      31 0.43 0.75 0.740 0.26 1.6
## clean              6 0.22 0.72 0.560 0.44 1.2
## harmonious        16 0.42 0.69 0.647 0.35 1.6
## professional      26 0.32 0.66 0.545 0.46 1.4
## inviting          18 0.56 0.64 0.716 0.28 2.0
## cluttered          7 0.04 0.14 0.020 0.98 1.2
## 
##                         PA1  PA2
## SS loadings           10.62 8.25
## Proportion Var         0.34 0.27
## Cumulative Var         0.34 0.61
## Proportion Explained   0.56 0.44
## Cumulative Proportion  0.56 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.41
## The degrees of freedom for the model are 404  and the objective function was  4.11 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.93
## Multiple R square of scores with factors          0.90 0.87
## Minimum correlation of possible factor scores     0.80 0.75
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## artistic           2  0.96 -0.41 0.505 0.49 1.3
## pretty            25  0.88 -0.02 0.751 0.25 1.0
## fascinating       15  0.84 -0.05 0.644 0.36 1.0
## creative           9  0.82 -0.23 0.444 0.56 1.2
## exciting          14  0.78  0.04 0.660 0.34 1.0
## interesting       17  0.77  0.00 0.591 0.41 1.0
## lovely            20  0.74  0.13 0.706 0.29 1.1
## beautiful          5  0.72  0.10 0.641 0.36 1.0
## nice              22  0.67  0.27 0.799 0.20 1.3
## pleasing          24  0.65  0.27 0.762 0.24 1.3
## satisfying        28  0.60  0.31 0.728 0.27 1.5
## enjoyable         13  0.59  0.29 0.696 0.30 1.5
## attractive         3  0.58  0.33 0.731 0.27 1.6
## appealing          1  0.57  0.37 0.775 0.22 1.7
## delightful        10  0.56  0.39 0.790 0.21 1.8
## motivating        21  0.55  0.33 0.688 0.31 1.6
## engaging          12  0.53  0.32 0.645 0.36 1.6
## likable           19  0.53  0.40 0.758 0.24 1.8
## sophisticated     29  0.53  0.22 0.505 0.50 1.3
## tasteful          30  0.47  0.40 0.663 0.34 1.9
## elegant           11  0.43  0.41 0.618 0.38 2.0
## colorHarmonious    8  0.25  0.20 0.184 0.82 1.9
## provoking         27  0.21  0.02 0.051 0.95 1.0
## organized         23 -0.22  0.96 0.660 0.34 1.1
## balanced           4 -0.14  0.91 0.654 0.35 1.0
## clean              6 -0.15  0.85 0.560 0.44 1.1
## wellDesigned      31  0.13  0.76 0.740 0.26 1.1
## professional      26  0.03  0.71 0.545 0.46 1.0
## harmonious        16  0.15  0.69 0.647 0.35 1.1
## inviting          18  0.37  0.53 0.716 0.28 1.8
## cluttered          7 -0.03  0.16 0.020 0.98 1.1
## 
##                         PA1  PA2
## SS loadings           11.31 7.56
## Proportion Var         0.36 0.24
## Cumulative Var         0.36 0.61
## Proportion Explained   0.60 0.40
## Cumulative Proportion  0.60 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.75
## PA2 0.75 1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  30.41
## The degrees of freedom for the model are 404  and the objective function was  4.11 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.95
## Minimum correlation of possible factor scores     0.94 0.90
## 
## 
## ## Image  14

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1     h2   u2 com
## likable         19 0.87 0.7587 0.24   1
## pretty          25 0.86 0.7423 0.26   1
## enjoyable       13 0.85 0.7269 0.27   1
## pleasing        24 0.84 0.7137 0.29   1
## attractive       3 0.84 0.7086 0.29   1
## delightful      10 0.84 0.7038 0.30   1
## appealing        1 0.83 0.6810 0.32   1
## nice            22 0.82 0.6775 0.32   1
## beautiful        5 0.82 0.6655 0.33   1
## satisfying      28 0.81 0.6585 0.34   1
## lovely          20 0.79 0.6310 0.37   1
## tasteful        30 0.77 0.5945 0.41   1
## motivating      21 0.76 0.5810 0.42   1
## inviting        18 0.76 0.5741 0.43   1
## harmonious      16 0.75 0.5699 0.43   1
## exciting        14 0.75 0.5672 0.43   1
## elegant         11 0.74 0.5485 0.45   1
## engaging        12 0.73 0.5393 0.46   1
## clean            6 0.73 0.5376 0.46   1
## balanced         4 0.71 0.5081 0.49   1
## sophisticated   29 0.71 0.5031 0.50   1
## fascinating     15 0.70 0.4908 0.51   1
## wellDesigned    31 0.66 0.4296 0.57   1
## colorHarmonious  8 0.64 0.4133 0.59   1
## organized       23 0.62 0.3901 0.61   1
## professional    26 0.62 0.3845 0.62   1
## interesting     17 0.59 0.3440 0.66   1
## artistic         2 0.58 0.3351 0.66   1
## creative         9 0.54 0.2940 0.71   1
## provoking       27 0.22 0.0492 0.95   1
## cluttered        7 0.05 0.0021 1.00   1
## 
##                  PA1
## SS loadings    16.32
## Proportion Var  0.53
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.59
## The degrees of freedom for the model are 434  and the objective function was  5.94 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1   PA2     h2   u2 com
## delightful        10 0.80  0.36 0.7767 0.22 1.4
## pleasing          24 0.80  0.38 0.7775 0.22 1.4
## enjoyable         13 0.78  0.41 0.7746 0.23 1.5
## pretty            25 0.78  0.42 0.7839 0.22 1.5
## attractive         3 0.77  0.40 0.7526 0.25 1.5
## lovely            20 0.75  0.35 0.6875 0.31 1.4
## likable           19 0.74  0.48 0.7746 0.23 1.7
## appealing          1 0.73  0.42 0.7085 0.29 1.6
## inviting          18 0.71  0.34 0.6248 0.38 1.4
## beautiful          5 0.71  0.42 0.6899 0.31 1.6
## satisfying        28 0.70  0.43 0.6770 0.32 1.7
## nice              22 0.69  0.47 0.6877 0.31 1.8
## motivating        21 0.64  0.42 0.5922 0.41 1.7
## exciting          14 0.64  0.41 0.5796 0.42 1.7
## tasteful          30 0.59  0.49 0.5932 0.41 1.9
## elegant           11 0.54  0.50 0.5471 0.45 2.0
## provoking         27 0.20  0.10 0.0525 0.95 1.5
## cluttered          7 0.08 -0.02 0.0071 0.99 1.2
## professional      26 0.13  0.81 0.6655 0.33 1.1
## organized         23 0.15  0.79 0.6470 0.35 1.1
## wellDesigned      31 0.21  0.76 0.6228 0.38 1.2
## clean              6 0.35  0.72 0.6387 0.36 1.4
## balanced           4 0.37  0.67 0.5763 0.42 1.6
## fascinating       15 0.41  0.60 0.5219 0.48 1.8
## sophisticated     29 0.43  0.59 0.5269 0.47 1.8
## colorHarmonious    8 0.36  0.56 0.4482 0.55 1.7
## engaging          12 0.48  0.56 0.5480 0.45 2.0
## harmonious        16 0.51  0.56 0.5744 0.43 2.0
## interesting       17 0.32  0.52 0.3751 0.62 1.7
## artistic           2 0.33  0.51 0.3621 0.64 1.7
## creative           9 0.32  0.46 0.3116 0.69 1.8
## 
##                        PA1  PA2
## SS loadings           9.85 8.05
## Proportion Var        0.32 0.26
## Cumulative Var        0.32 0.58
## Proportion Explained  0.55 0.45
## Cumulative Proportion 0.55 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.59
## The degrees of freedom for the model are 404  and the objective function was  3.9 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.94
## Multiple R square of scores with factors          0.92 0.88
## Minimum correlation of possible factor scores     0.84 0.76
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2     h2   u2 com
## delightful        10  0.86  0.03 0.7767 0.22 1.0
## pleasing          24  0.84  0.05 0.7775 0.22 1.0
## enjoyable         13  0.81  0.10 0.7746 0.23 1.0
## pretty            25  0.80  0.12 0.7839 0.22 1.0
## lovely            20  0.80  0.05 0.6875 0.31 1.0
## attractive         3  0.79  0.10 0.7526 0.25 1.0
## inviting          18  0.76  0.05 0.6248 0.38 1.0
## appealing          1  0.73  0.15 0.7085 0.29 1.1
## likable           19  0.71  0.22 0.7746 0.23 1.2
## beautiful          5  0.71  0.16 0.6899 0.31 1.1
## satisfying        28  0.69  0.18 0.6770 0.32 1.1
## nice              22  0.65  0.23 0.6877 0.31 1.2
## exciting          14  0.62  0.18 0.5796 0.42 1.2
## motivating        21  0.62  0.20 0.5922 0.41 1.2
## tasteful          30  0.51  0.32 0.5932 0.41 1.7
## elegant           11  0.44  0.35 0.5471 0.45 1.9
## provoking         27  0.21  0.02 0.0525 0.95 1.0
## cluttered          7  0.12 -0.07 0.0071 0.99 1.7
## professional      26 -0.26  0.98 0.6655 0.33 1.1
## organized         23 -0.23  0.95 0.6470 0.35 1.1
## wellDesigned      31 -0.13  0.87 0.6228 0.38 1.0
## clean              6  0.07  0.75 0.6387 0.36 1.0
## balanced           4  0.12  0.67 0.5763 0.42 1.1
## fascinating       15  0.22  0.55 0.5219 0.48 1.3
## colorHarmonious    8  0.17  0.54 0.4482 0.55 1.2
## sophisticated     29  0.25  0.53 0.5269 0.47 1.4
## interesting       17  0.15  0.50 0.3751 0.62 1.2
## artistic           2  0.16  0.48 0.3621 0.64 1.2
## engaging          12  0.34  0.46 0.5480 0.45 1.8
## harmonious        16  0.38  0.44 0.5744 0.43 2.0
## creative           9  0.17  0.42 0.3116 0.69 1.3
## 
##                         PA1  PA2
## SS loadings           10.36 7.54
## Proportion Var         0.33 0.24
## Cumulative Var         0.33 0.58
## Proportion Explained   0.58 0.42
## Cumulative Proportion  0.58 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.71
## PA2 0.71 1.00
## 
## Mean item complexity =  1.2
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.59
## The degrees of freedom for the model are 404  and the objective function was  3.9 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.94
## Minimum correlation of possible factor scores     0.94 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1     h2   u2 com
## likable         19 0.87 0.7587 0.24   1
## pretty          25 0.86 0.7423 0.26   1
## enjoyable       13 0.85 0.7269 0.27   1
## pleasing        24 0.84 0.7137 0.29   1
## attractive       3 0.84 0.7086 0.29   1
## delightful      10 0.84 0.7038 0.30   1
## appealing        1 0.83 0.6810 0.32   1
## nice            22 0.82 0.6775 0.32   1
## beautiful        5 0.82 0.6655 0.33   1
## satisfying      28 0.81 0.6585 0.34   1
## lovely          20 0.79 0.6310 0.37   1
## tasteful        30 0.77 0.5945 0.41   1
## motivating      21 0.76 0.5810 0.42   1
## inviting        18 0.76 0.5741 0.43   1
## harmonious      16 0.75 0.5699 0.43   1
## exciting        14 0.75 0.5672 0.43   1
## elegant         11 0.74 0.5485 0.45   1
## engaging        12 0.73 0.5393 0.46   1
## clean            6 0.73 0.5376 0.46   1
## balanced         4 0.71 0.5081 0.49   1
## sophisticated   29 0.71 0.5031 0.50   1
## fascinating     15 0.70 0.4908 0.51   1
## wellDesigned    31 0.66 0.4296 0.57   1
## colorHarmonious  8 0.64 0.4133 0.59   1
## organized       23 0.62 0.3901 0.61   1
## professional    26 0.62 0.3845 0.62   1
## interesting     17 0.59 0.3440 0.66   1
## artistic         2 0.58 0.3351 0.66   1
## creative         9 0.54 0.2940 0.71   1
## provoking       27 0.22 0.0492 0.95   1
## cluttered        7 0.05 0.0021 1.00   1
## 
##                  PA1
## SS loadings    16.32
## Proportion Var  0.53
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.59
## The degrees of freedom for the model are 434  and the objective function was  5.94 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1   PA2     h2   u2 com
## delightful        10 0.80  0.36 0.7767 0.22 1.4
## pleasing          24 0.80  0.38 0.7775 0.22 1.4
## enjoyable         13 0.78  0.41 0.7746 0.23 1.5
## pretty            25 0.78  0.42 0.7839 0.22 1.5
## attractive         3 0.77  0.40 0.7526 0.25 1.5
## lovely            20 0.75  0.35 0.6875 0.31 1.4
## likable           19 0.74  0.48 0.7746 0.23 1.7
## appealing          1 0.73  0.42 0.7085 0.29 1.6
## inviting          18 0.71  0.34 0.6248 0.38 1.4
## beautiful          5 0.71  0.42 0.6899 0.31 1.6
## satisfying        28 0.70  0.43 0.6770 0.32 1.7
## nice              22 0.69  0.47 0.6877 0.31 1.8
## motivating        21 0.64  0.42 0.5922 0.41 1.7
## exciting          14 0.64  0.41 0.5796 0.42 1.7
## tasteful          30 0.59  0.49 0.5932 0.41 1.9
## elegant           11 0.54  0.50 0.5471 0.45 2.0
## provoking         27 0.20  0.10 0.0525 0.95 1.5
## cluttered          7 0.08 -0.02 0.0071 0.99 1.2
## professional      26 0.13  0.81 0.6655 0.33 1.1
## organized         23 0.15  0.79 0.6470 0.35 1.1
## wellDesigned      31 0.21  0.76 0.6228 0.38 1.2
## clean              6 0.35  0.72 0.6387 0.36 1.4
## balanced           4 0.37  0.67 0.5763 0.42 1.6
## fascinating       15 0.41  0.60 0.5219 0.48 1.8
## sophisticated     29 0.43  0.59 0.5269 0.47 1.8
## colorHarmonious    8 0.36  0.56 0.4482 0.55 1.7
## engaging          12 0.48  0.56 0.5480 0.45 2.0
## harmonious        16 0.51  0.56 0.5744 0.43 2.0
## interesting       17 0.32  0.52 0.3751 0.62 1.7
## artistic           2 0.33  0.51 0.3621 0.64 1.7
## creative           9 0.32  0.46 0.3116 0.69 1.8
## 
##                        PA1  PA2
## SS loadings           9.85 8.05
## Proportion Var        0.32 0.26
## Cumulative Var        0.32 0.58
## Proportion Explained  0.55 0.45
## Cumulative Proportion 0.55 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.59
## The degrees of freedom for the model are 404  and the objective function was  3.9 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.94
## Multiple R square of scores with factors          0.92 0.88
## Minimum correlation of possible factor scores     0.84 0.76
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2     h2   u2 com
## delightful        10  0.86  0.03 0.7767 0.22 1.0
## pleasing          24  0.84  0.05 0.7775 0.22 1.0
## enjoyable         13  0.81  0.10 0.7746 0.23 1.0
## pretty            25  0.80  0.12 0.7839 0.22 1.0
## lovely            20  0.80  0.05 0.6875 0.31 1.0
## attractive         3  0.79  0.10 0.7526 0.25 1.0
## inviting          18  0.76  0.05 0.6248 0.38 1.0
## appealing          1  0.73  0.15 0.7085 0.29 1.1
## likable           19  0.71  0.22 0.7746 0.23 1.2
## beautiful          5  0.71  0.16 0.6899 0.31 1.1
## satisfying        28  0.69  0.18 0.6770 0.32 1.1
## nice              22  0.65  0.23 0.6877 0.31 1.2
## exciting          14  0.62  0.18 0.5796 0.42 1.2
## motivating        21  0.62  0.20 0.5922 0.41 1.2
## tasteful          30  0.51  0.32 0.5932 0.41 1.7
## elegant           11  0.44  0.35 0.5471 0.45 1.9
## provoking         27  0.21  0.02 0.0525 0.95 1.0
## cluttered          7  0.12 -0.07 0.0071 0.99 1.7
## professional      26 -0.26  0.98 0.6655 0.33 1.1
## organized         23 -0.23  0.95 0.6470 0.35 1.1
## wellDesigned      31 -0.13  0.87 0.6228 0.38 1.0
## clean              6  0.07  0.75 0.6387 0.36 1.0
## balanced           4  0.12  0.67 0.5763 0.42 1.1
## fascinating       15  0.22  0.55 0.5219 0.48 1.3
## colorHarmonious    8  0.17  0.54 0.4482 0.55 1.2
## sophisticated     29  0.25  0.53 0.5269 0.47 1.4
## interesting       17  0.15  0.50 0.3751 0.62 1.2
## artistic           2  0.16  0.48 0.3621 0.64 1.2
## engaging          12  0.34  0.46 0.5480 0.45 1.8
## harmonious        16  0.38  0.44 0.5744 0.43 2.0
## creative           9  0.17  0.42 0.3116 0.69 1.3
## 
##                         PA1  PA2
## SS loadings           10.36 7.54
## Proportion Var         0.33 0.24
## Cumulative Var         0.33 0.58
## Proportion Explained   0.58 0.42
## Cumulative Proportion  0.58 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.71
## PA2 0.71 1.00
## 
## Mean item complexity =  1.2
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.59
## The degrees of freedom for the model are 404  and the objective function was  3.9 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.94
## Minimum correlation of possible factor scores     0.94 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1     h2   u2 com
## likable         19 0.87 0.7587 0.24   1
## pretty          25 0.86 0.7423 0.26   1
## enjoyable       13 0.85 0.7269 0.27   1
## pleasing        24 0.84 0.7137 0.29   1
## attractive       3 0.84 0.7086 0.29   1
## delightful      10 0.84 0.7038 0.30   1
## appealing        1 0.83 0.6810 0.32   1
## nice            22 0.82 0.6775 0.32   1
## beautiful        5 0.82 0.6655 0.33   1
## satisfying      28 0.81 0.6585 0.34   1
## lovely          20 0.79 0.6310 0.37   1
## tasteful        30 0.77 0.5945 0.41   1
## motivating      21 0.76 0.5810 0.42   1
## inviting        18 0.76 0.5741 0.43   1
## harmonious      16 0.75 0.5699 0.43   1
## exciting        14 0.75 0.5672 0.43   1
## elegant         11 0.74 0.5485 0.45   1
## engaging        12 0.73 0.5393 0.46   1
## clean            6 0.73 0.5376 0.46   1
## balanced         4 0.71 0.5081 0.49   1
## sophisticated   29 0.71 0.5031 0.50   1
## fascinating     15 0.70 0.4908 0.51   1
## wellDesigned    31 0.66 0.4296 0.57   1
## colorHarmonious  8 0.64 0.4133 0.59   1
## organized       23 0.62 0.3901 0.61   1
## professional    26 0.62 0.3845 0.62   1
## interesting     17 0.59 0.3440 0.66   1
## artistic         2 0.58 0.3351 0.66   1
## creative         9 0.54 0.2940 0.71   1
## provoking       27 0.22 0.0492 0.95   1
## cluttered        7 0.05 0.0021 1.00   1
## 
##                  PA1
## SS loadings    16.32
## Proportion Var  0.53
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.59
## The degrees of freedom for the model are 434  and the objective function was  5.94 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1   PA2     h2   u2 com
## delightful        10 0.80  0.36 0.7767 0.22 1.4
## pleasing          24 0.80  0.38 0.7775 0.22 1.4
## enjoyable         13 0.78  0.41 0.7746 0.23 1.5
## pretty            25 0.78  0.42 0.7839 0.22 1.5
## attractive         3 0.77  0.40 0.7526 0.25 1.5
## lovely            20 0.75  0.35 0.6875 0.31 1.4
## likable           19 0.74  0.48 0.7746 0.23 1.7
## appealing          1 0.73  0.42 0.7085 0.29 1.6
## inviting          18 0.71  0.34 0.6248 0.38 1.4
## beautiful          5 0.71  0.42 0.6899 0.31 1.6
## satisfying        28 0.70  0.43 0.6770 0.32 1.7
## nice              22 0.69  0.47 0.6877 0.31 1.8
## motivating        21 0.64  0.42 0.5922 0.41 1.7
## exciting          14 0.64  0.41 0.5796 0.42 1.7
## tasteful          30 0.59  0.49 0.5932 0.41 1.9
## elegant           11 0.54  0.50 0.5471 0.45 2.0
## provoking         27 0.20  0.10 0.0525 0.95 1.5
## cluttered          7 0.08 -0.02 0.0071 0.99 1.2
## professional      26 0.13  0.81 0.6655 0.33 1.1
## organized         23 0.15  0.79 0.6470 0.35 1.1
## wellDesigned      31 0.21  0.76 0.6228 0.38 1.2
## clean              6 0.35  0.72 0.6387 0.36 1.4
## balanced           4 0.37  0.67 0.5763 0.42 1.6
## fascinating       15 0.41  0.60 0.5219 0.48 1.8
## sophisticated     29 0.43  0.59 0.5269 0.47 1.8
## colorHarmonious    8 0.36  0.56 0.4482 0.55 1.7
## engaging          12 0.48  0.56 0.5480 0.45 2.0
## harmonious        16 0.51  0.56 0.5744 0.43 2.0
## interesting       17 0.32  0.52 0.3751 0.62 1.7
## artistic           2 0.33  0.51 0.3621 0.64 1.7
## creative           9 0.32  0.46 0.3116 0.69 1.8
## 
##                        PA1  PA2
## SS loadings           9.85 8.05
## Proportion Var        0.32 0.26
## Cumulative Var        0.32 0.58
## Proportion Explained  0.55 0.45
## Cumulative Proportion 0.55 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.59
## The degrees of freedom for the model are 404  and the objective function was  3.9 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.94
## Multiple R square of scores with factors          0.92 0.88
## Minimum correlation of possible factor scores     0.84 0.76
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2     h2   u2 com
## delightful        10  0.86  0.03 0.7767 0.22 1.0
## pleasing          24  0.84  0.05 0.7775 0.22 1.0
## enjoyable         13  0.81  0.10 0.7746 0.23 1.0
## pretty            25  0.80  0.12 0.7839 0.22 1.0
## lovely            20  0.80  0.05 0.6875 0.31 1.0
## attractive         3  0.79  0.10 0.7526 0.25 1.0
## inviting          18  0.76  0.05 0.6248 0.38 1.0
## appealing          1  0.73  0.15 0.7085 0.29 1.1
## likable           19  0.71  0.22 0.7746 0.23 1.2
## beautiful          5  0.71  0.16 0.6899 0.31 1.1
## satisfying        28  0.69  0.18 0.6770 0.32 1.1
## nice              22  0.65  0.23 0.6877 0.31 1.2
## exciting          14  0.62  0.18 0.5796 0.42 1.2
## motivating        21  0.62  0.20 0.5922 0.41 1.2
## tasteful          30  0.51  0.32 0.5932 0.41 1.7
## elegant           11  0.44  0.35 0.5471 0.45 1.9
## provoking         27  0.21  0.02 0.0525 0.95 1.0
## cluttered          7  0.12 -0.07 0.0071 0.99 1.7
## professional      26 -0.26  0.98 0.6655 0.33 1.1
## organized         23 -0.23  0.95 0.6470 0.35 1.1
## wellDesigned      31 -0.13  0.87 0.6228 0.38 1.0
## clean              6  0.07  0.75 0.6387 0.36 1.0
## balanced           4  0.12  0.67 0.5763 0.42 1.1
## fascinating       15  0.22  0.55 0.5219 0.48 1.3
## colorHarmonious    8  0.17  0.54 0.4482 0.55 1.2
## sophisticated     29  0.25  0.53 0.5269 0.47 1.4
## interesting       17  0.15  0.50 0.3751 0.62 1.2
## artistic           2  0.16  0.48 0.3621 0.64 1.2
## engaging          12  0.34  0.46 0.5480 0.45 1.8
## harmonious        16  0.38  0.44 0.5744 0.43 2.0
## creative           9  0.17  0.42 0.3116 0.69 1.3
## 
##                         PA1  PA2
## SS loadings           10.36 7.54
## Proportion Var         0.33 0.24
## Cumulative Var         0.33 0.58
## Proportion Explained   0.58 0.42
## Cumulative Proportion  0.58 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.71
## PA2 0.71 1.00
## 
## Mean item complexity =  1.2
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.59
## The degrees of freedom for the model are 404  and the objective function was  3.9 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.94
## Minimum correlation of possible factor scores     0.94 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1     h2   u2 com
## likable         19 0.87 0.7587 0.24   1
## pretty          25 0.86 0.7423 0.26   1
## enjoyable       13 0.85 0.7269 0.27   1
## pleasing        24 0.84 0.7137 0.29   1
## attractive       3 0.84 0.7086 0.29   1
## delightful      10 0.84 0.7038 0.30   1
## appealing        1 0.83 0.6810 0.32   1
## nice            22 0.82 0.6775 0.32   1
## beautiful        5 0.82 0.6655 0.33   1
## satisfying      28 0.81 0.6585 0.34   1
## lovely          20 0.79 0.6310 0.37   1
## tasteful        30 0.77 0.5945 0.41   1
## motivating      21 0.76 0.5810 0.42   1
## inviting        18 0.76 0.5741 0.43   1
## harmonious      16 0.75 0.5699 0.43   1
## exciting        14 0.75 0.5672 0.43   1
## elegant         11 0.74 0.5485 0.45   1
## engaging        12 0.73 0.5393 0.46   1
## clean            6 0.73 0.5376 0.46   1
## balanced         4 0.71 0.5081 0.49   1
## sophisticated   29 0.71 0.5031 0.50   1
## fascinating     15 0.70 0.4908 0.51   1
## wellDesigned    31 0.66 0.4296 0.57   1
## colorHarmonious  8 0.64 0.4133 0.59   1
## organized       23 0.62 0.3901 0.61   1
## professional    26 0.62 0.3845 0.62   1
## interesting     17 0.59 0.3440 0.66   1
## artistic         2 0.58 0.3351 0.66   1
## creative         9 0.54 0.2940 0.71   1
## provoking       27 0.22 0.0492 0.95   1
## cluttered        7 0.05 0.0021 1.00   1
## 
##                  PA1
## SS loadings    16.32
## Proportion Var  0.53
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.59
## The degrees of freedom for the model are 434  and the objective function was  5.94 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1   PA2     h2   u2 com
## delightful        10 0.80  0.36 0.7767 0.22 1.4
## pleasing          24 0.80  0.38 0.7775 0.22 1.4
## enjoyable         13 0.78  0.41 0.7746 0.23 1.5
## pretty            25 0.78  0.42 0.7839 0.22 1.5
## attractive         3 0.77  0.40 0.7526 0.25 1.5
## lovely            20 0.75  0.35 0.6875 0.31 1.4
## likable           19 0.74  0.48 0.7746 0.23 1.7
## appealing          1 0.73  0.42 0.7085 0.29 1.6
## inviting          18 0.71  0.34 0.6248 0.38 1.4
## beautiful          5 0.71  0.42 0.6899 0.31 1.6
## satisfying        28 0.70  0.43 0.6770 0.32 1.7
## nice              22 0.69  0.47 0.6877 0.31 1.8
## motivating        21 0.64  0.42 0.5922 0.41 1.7
## exciting          14 0.64  0.41 0.5796 0.42 1.7
## tasteful          30 0.59  0.49 0.5932 0.41 1.9
## elegant           11 0.54  0.50 0.5471 0.45 2.0
## provoking         27 0.20  0.10 0.0525 0.95 1.5
## cluttered          7 0.08 -0.02 0.0071 0.99 1.2
## professional      26 0.13  0.81 0.6655 0.33 1.1
## organized         23 0.15  0.79 0.6470 0.35 1.1
## wellDesigned      31 0.21  0.76 0.6228 0.38 1.2
## clean              6 0.35  0.72 0.6387 0.36 1.4
## balanced           4 0.37  0.67 0.5763 0.42 1.6
## fascinating       15 0.41  0.60 0.5219 0.48 1.8
## sophisticated     29 0.43  0.59 0.5269 0.47 1.8
## colorHarmonious    8 0.36  0.56 0.4482 0.55 1.7
## engaging          12 0.48  0.56 0.5480 0.45 2.0
## harmonious        16 0.51  0.56 0.5744 0.43 2.0
## interesting       17 0.32  0.52 0.3751 0.62 1.7
## artistic           2 0.33  0.51 0.3621 0.64 1.7
## creative           9 0.32  0.46 0.3116 0.69 1.8
## 
##                        PA1  PA2
## SS loadings           9.85 8.05
## Proportion Var        0.32 0.26
## Cumulative Var        0.32 0.58
## Proportion Explained  0.55 0.45
## Cumulative Proportion 0.55 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.59
## The degrees of freedom for the model are 404  and the objective function was  3.9 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.94
## Multiple R square of scores with factors          0.92 0.88
## Minimum correlation of possible factor scores     0.84 0.76
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2     h2   u2 com
## delightful        10  0.86  0.03 0.7767 0.22 1.0
## pleasing          24  0.84  0.05 0.7775 0.22 1.0
## enjoyable         13  0.81  0.10 0.7746 0.23 1.0
## pretty            25  0.80  0.12 0.7839 0.22 1.0
## lovely            20  0.80  0.05 0.6875 0.31 1.0
## attractive         3  0.79  0.10 0.7526 0.25 1.0
## inviting          18  0.76  0.05 0.6248 0.38 1.0
## appealing          1  0.73  0.15 0.7085 0.29 1.1
## likable           19  0.71  0.22 0.7746 0.23 1.2
## beautiful          5  0.71  0.16 0.6899 0.31 1.1
## satisfying        28  0.69  0.18 0.6770 0.32 1.1
## nice              22  0.65  0.23 0.6877 0.31 1.2
## exciting          14  0.62  0.18 0.5796 0.42 1.2
## motivating        21  0.62  0.20 0.5922 0.41 1.2
## tasteful          30  0.51  0.32 0.5932 0.41 1.7
## elegant           11  0.44  0.35 0.5471 0.45 1.9
## provoking         27  0.21  0.02 0.0525 0.95 1.0
## cluttered          7  0.12 -0.07 0.0071 0.99 1.7
## professional      26 -0.26  0.98 0.6655 0.33 1.1
## organized         23 -0.23  0.95 0.6470 0.35 1.1
## wellDesigned      31 -0.13  0.87 0.6228 0.38 1.0
## clean              6  0.07  0.75 0.6387 0.36 1.0
## balanced           4  0.12  0.67 0.5763 0.42 1.1
## fascinating       15  0.22  0.55 0.5219 0.48 1.3
## colorHarmonious    8  0.17  0.54 0.4482 0.55 1.2
## sophisticated     29  0.25  0.53 0.5269 0.47 1.4
## interesting       17  0.15  0.50 0.3751 0.62 1.2
## artistic           2  0.16  0.48 0.3621 0.64 1.2
## engaging          12  0.34  0.46 0.5480 0.45 1.8
## harmonious        16  0.38  0.44 0.5744 0.43 2.0
## creative           9  0.17  0.42 0.3116 0.69 1.3
## 
##                         PA1  PA2
## SS loadings           10.36 7.54
## Proportion Var         0.33 0.24
## Cumulative Var         0.33 0.58
## Proportion Explained   0.58 0.42
## Cumulative Proportion  0.58 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.71
## PA2 0.71 1.00
## 
## Mean item complexity =  1.2
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.59
## The degrees of freedom for the model are 404  and the objective function was  3.9 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.94
## Minimum correlation of possible factor scores     0.94 0.88

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1     h2   u2 com
## likable         19 0.87 0.7587 0.24   1
## pretty          25 0.86 0.7423 0.26   1
## enjoyable       13 0.85 0.7269 0.27   1
## pleasing        24 0.84 0.7137 0.29   1
## attractive       3 0.84 0.7086 0.29   1
## delightful      10 0.84 0.7038 0.30   1
## appealing        1 0.83 0.6810 0.32   1
## nice            22 0.82 0.6775 0.32   1
## beautiful        5 0.82 0.6655 0.33   1
## satisfying      28 0.81 0.6585 0.34   1
## lovely          20 0.79 0.6310 0.37   1
## tasteful        30 0.77 0.5945 0.41   1
## motivating      21 0.76 0.5810 0.42   1
## inviting        18 0.76 0.5741 0.43   1
## harmonious      16 0.75 0.5699 0.43   1
## exciting        14 0.75 0.5672 0.43   1
## elegant         11 0.74 0.5485 0.45   1
## engaging        12 0.73 0.5393 0.46   1
## clean            6 0.73 0.5376 0.46   1
## balanced         4 0.71 0.5081 0.49   1
## sophisticated   29 0.71 0.5031 0.50   1
## fascinating     15 0.70 0.4908 0.51   1
## wellDesigned    31 0.66 0.4296 0.57   1
## colorHarmonious  8 0.64 0.4133 0.59   1
## organized       23 0.62 0.3901 0.61   1
## professional    26 0.62 0.3845 0.62   1
## interesting     17 0.59 0.3440 0.66   1
## artistic         2 0.58 0.3351 0.66   1
## creative         9 0.54 0.2940 0.71   1
## provoking       27 0.22 0.0492 0.95   1
## cluttered        7 0.05 0.0021 1.00   1
## 
##                  PA1
## SS loadings    16.32
## Proportion Var  0.53
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.59
## The degrees of freedom for the model are 434  and the objective function was  5.94 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.07 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.95
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item  PA1   PA2     h2   u2 com
## delightful        10 0.80  0.36 0.7767 0.22 1.4
## pleasing          24 0.80  0.38 0.7775 0.22 1.4
## enjoyable         13 0.78  0.41 0.7746 0.23 1.5
## pretty            25 0.78  0.42 0.7839 0.22 1.5
## attractive         3 0.77  0.40 0.7526 0.25 1.5
## lovely            20 0.75  0.35 0.6875 0.31 1.4
## likable           19 0.74  0.48 0.7746 0.23 1.7
## appealing          1 0.73  0.42 0.7085 0.29 1.6
## inviting          18 0.71  0.34 0.6248 0.38 1.4
## beautiful          5 0.71  0.42 0.6899 0.31 1.6
## satisfying        28 0.70  0.43 0.6770 0.32 1.7
## nice              22 0.69  0.47 0.6877 0.31 1.8
## motivating        21 0.64  0.42 0.5922 0.41 1.7
## exciting          14 0.64  0.41 0.5796 0.42 1.7
## tasteful          30 0.59  0.49 0.5932 0.41 1.9
## elegant           11 0.54  0.50 0.5471 0.45 2.0
## provoking         27 0.20  0.10 0.0525 0.95 1.5
## cluttered          7 0.08 -0.02 0.0071 0.99 1.2
## professional      26 0.13  0.81 0.6655 0.33 1.1
## organized         23 0.15  0.79 0.6470 0.35 1.1
## wellDesigned      31 0.21  0.76 0.6228 0.38 1.2
## clean              6 0.35  0.72 0.6387 0.36 1.4
## balanced           4 0.37  0.67 0.5763 0.42 1.6
## fascinating       15 0.41  0.60 0.5219 0.48 1.8
## sophisticated     29 0.43  0.59 0.5269 0.47 1.8
## colorHarmonious    8 0.36  0.56 0.4482 0.55 1.7
## engaging          12 0.48  0.56 0.5480 0.45 2.0
## harmonious        16 0.51  0.56 0.5744 0.43 2.0
## interesting       17 0.32  0.52 0.3751 0.62 1.7
## artistic           2 0.33  0.51 0.3621 0.64 1.7
## creative           9 0.32  0.46 0.3116 0.69 1.8
## 
##                        PA1  PA2
## SS loadings           9.85 8.05
## Proportion Var        0.32 0.26
## Cumulative Var        0.32 0.58
## Proportion Explained  0.55 0.45
## Cumulative Proportion 0.55 1.00
## 
## Mean item complexity =  1.6
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.59
## The degrees of freedom for the model are 404  and the objective function was  3.9 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.96 0.94
## Multiple R square of scores with factors          0.92 0.88
## Minimum correlation of possible factor scores     0.84 0.76
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2     h2   u2 com
## delightful        10  0.86  0.03 0.7767 0.22 1.0
## pleasing          24  0.84  0.05 0.7775 0.22 1.0
## enjoyable         13  0.81  0.10 0.7746 0.23 1.0
## pretty            25  0.80  0.12 0.7839 0.22 1.0
## lovely            20  0.80  0.05 0.6875 0.31 1.0
## attractive         3  0.79  0.10 0.7526 0.25 1.0
## inviting          18  0.76  0.05 0.6248 0.38 1.0
## appealing          1  0.73  0.15 0.7085 0.29 1.1
## likable           19  0.71  0.22 0.7746 0.23 1.2
## beautiful          5  0.71  0.16 0.6899 0.31 1.1
## satisfying        28  0.69  0.18 0.6770 0.32 1.1
## nice              22  0.65  0.23 0.6877 0.31 1.2
## exciting          14  0.62  0.18 0.5796 0.42 1.2
## motivating        21  0.62  0.20 0.5922 0.41 1.2
## tasteful          30  0.51  0.32 0.5932 0.41 1.7
## elegant           11  0.44  0.35 0.5471 0.45 1.9
## provoking         27  0.21  0.02 0.0525 0.95 1.0
## cluttered          7  0.12 -0.07 0.0071 0.99 1.7
## professional      26 -0.26  0.98 0.6655 0.33 1.1
## organized         23 -0.23  0.95 0.6470 0.35 1.1
## wellDesigned      31 -0.13  0.87 0.6228 0.38 1.0
## clean              6  0.07  0.75 0.6387 0.36 1.0
## balanced           4  0.12  0.67 0.5763 0.42 1.1
## fascinating       15  0.22  0.55 0.5219 0.48 1.3
## colorHarmonious    8  0.17  0.54 0.4482 0.55 1.2
## sophisticated     29  0.25  0.53 0.5269 0.47 1.4
## interesting       17  0.15  0.50 0.3751 0.62 1.2
## artistic           2  0.16  0.48 0.3621 0.64 1.2
## engaging          12  0.34  0.46 0.5480 0.45 1.8
## harmonious        16  0.38  0.44 0.5744 0.43 2.0
## creative           9  0.17  0.42 0.3116 0.69 1.3
## 
##                         PA1  PA2
## SS loadings           10.36 7.54
## Proportion Var         0.33 0.24
## Cumulative Var         0.33 0.58
## Proportion Explained   0.58 0.42
## Cumulative Proportion  0.58 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.71
## PA2 0.71 1.00
## 
## Mean item complexity =  1.2
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  27.59
## The degrees of freedom for the model are 404  and the objective function was  3.9 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.97
## Multiple R square of scores with factors          0.97 0.94
## Minimum correlation of possible factor scores     0.94 0.88
## 
## 
## ## Image  15

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## appealing        1 0.90 0.813 0.19   1
## nice            22 0.89 0.795 0.20   1
## likable         19 0.89 0.794 0.21   1
## enjoyable       13 0.89 0.789 0.21   1
## delightful      10 0.88 0.781 0.22   1
## pleasing        24 0.88 0.771 0.23   1
## pretty          25 0.85 0.726 0.27   1
## attractive       3 0.85 0.722 0.28   1
## satisfying      28 0.84 0.705 0.29   1
## beautiful        5 0.84 0.703 0.30   1
## inviting        18 0.83 0.687 0.31   1
## tasteful        30 0.83 0.684 0.32   1
## lovely          20 0.83 0.682 0.32   1
## harmonious      16 0.81 0.652 0.35   1
## engaging        12 0.80 0.647 0.35   1
## elegant         11 0.80 0.633 0.37   1
## exciting        14 0.79 0.622 0.38   1
## motivating      21 0.77 0.588 0.41   1
## wellDesigned    31 0.76 0.582 0.42   1
## interesting     17 0.74 0.543 0.46   1
## balanced         4 0.74 0.543 0.46   1
## fascinating     15 0.71 0.501 0.50   1
## sophisticated   29 0.71 0.500 0.50   1
## clean            6 0.67 0.449 0.55   1
## artistic         2 0.67 0.443 0.56   1
## organized       23 0.65 0.426 0.57   1
## creative         9 0.65 0.418 0.58   1
## colorHarmonious  8 0.64 0.406 0.59   1
## professional    26 0.60 0.355 0.64   1
## provoking       27 0.35 0.126 0.87   1
## cluttered        7 0.24 0.056 0.94   1
## 
##                  PA1
## SS loadings    18.14
## Proportion Var  0.59
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  32.44
## The degrees of freedom for the model are 434  and the objective function was  6.31 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2    h2   u2 com
## organized         23  0.83 0.10 0.691 0.31 1.0
## balanced           4  0.76 0.28 0.656 0.34 1.3
## harmonious        16  0.76 0.38 0.719 0.28 1.5
## clean              6  0.75 0.20 0.601 0.40 1.1
## wellDesigned      31  0.72 0.36 0.645 0.36 1.5
## appealing          1  0.68 0.59 0.813 0.19 2.0
## satisfying        28  0.68 0.51 0.716 0.28 1.9
## pleasing          24  0.67 0.57 0.773 0.23 2.0
## nice              22  0.67 0.59 0.795 0.21 2.0
## professional      26  0.66 0.18 0.468 0.53 1.1
## delightful        10  0.66 0.59 0.780 0.22 2.0
## elegant           11  0.64 0.48 0.643 0.36 1.8
## likable           19  0.63 0.63 0.792 0.21 2.0
## lovely            20  0.58 0.58 0.681 0.32 2.0
## colorHarmonious    8  0.49 0.41 0.407 0.59 1.9
## cluttered          7  0.24 0.09 0.067 0.93 1.3
## creative           9  0.19 0.74 0.584 0.42 1.1
## fascinating       15  0.28 0.74 0.621 0.38 1.3
## artistic           2  0.26 0.69 0.546 0.45 1.3
## interesting       17  0.37 0.68 0.602 0.40 1.5
## exciting          14  0.44 0.68 0.657 0.34 1.7
## attractive         3  0.54 0.66 0.730 0.27 1.9
## enjoyable         13  0.60 0.65 0.790 0.21 2.0
## engaging          12  0.49 0.65 0.662 0.34 1.9
## beautiful          5  0.54 0.65 0.710 0.29 1.9
## pretty            25  0.57 0.64 0.729 0.27 2.0
## tasteful          30  0.53 0.64 0.691 0.31 1.9
## inviting          18  0.56 0.61 0.687 0.31 2.0
## motivating        21  0.48 0.61 0.597 0.40 1.9
## provoking         27 -0.04 0.56 0.315 0.69 1.0
## sophisticated     29  0.45 0.55 0.506 0.49 1.9
## 
##                         PA1  PA2
## SS loadings           10.11 9.57
## Proportion Var         0.33 0.31
## Cumulative Var         0.33 0.63
## Proportion Explained   0.51 0.49
## Cumulative Proportion  0.51 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  32.44
## The degrees of freedom for the model are 404  and the objective function was  4.67 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.94
## Multiple R square of scores with factors          0.90 0.89
## Minimum correlation of possible factor scores     0.79 0.77
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## organized         23  1.06 -0.36 0.691 0.31 1.2
## clean              6  0.90 -0.18 0.601 0.40 1.1
## balanced           4  0.86 -0.07 0.656 0.34 1.0
## harmonious        16  0.79  0.07 0.719 0.28 1.0
## professional      26  0.79 -0.15 0.468 0.53 1.1
## wellDesigned      31  0.76  0.06 0.645 0.36 1.0
## satisfying        28  0.61  0.29 0.716 0.28 1.4
## elegant           11  0.59  0.26 0.643 0.36 1.4
## appealing          1  0.57  0.40 0.813 0.19 1.8
## pleasing          24  0.56  0.38 0.773 0.23 1.8
## nice              22  0.55  0.41 0.795 0.21 1.9
## delightful        10  0.53  0.41 0.780 0.22 1.9
## likable           19  0.48  0.48 0.792 0.21 2.0
## colorHarmonious    8  0.41  0.27 0.407 0.59 1.7
## cluttered          7  0.28 -0.03 0.067 0.93 1.0
## creative           9 -0.19  0.89 0.584 0.42 1.1
## fascinating       15 -0.07  0.84 0.621 0.38 1.0
## provoking         27 -0.40  0.79 0.315 0.69 1.5
## artistic           2 -0.06  0.78 0.546 0.45 1.0
## interesting       17  0.08  0.71 0.602 0.40 1.0
## exciting          14  0.19  0.66 0.657 0.34 1.2
## engaging          12  0.28  0.59 0.662 0.34 1.4
## attractive         3  0.34  0.57 0.730 0.27 1.6
## beautiful          5  0.34  0.56 0.710 0.29 1.7
## tasteful          30  0.34  0.55 0.691 0.31 1.7
## motivating        21  0.29  0.54 0.597 0.40 1.5
## pretty            25  0.38  0.53 0.729 0.27 1.8
## enjoyable         13  0.42  0.53 0.790 0.21 1.9
## inviting          18  0.40  0.49 0.687 0.31 1.9
## sophisticated     29  0.28  0.48 0.506 0.49 1.6
## lovely            20  0.44  0.45 0.681 0.32 2.0
## 
##                         PA1  PA2
## SS loadings           10.16 9.52
## Proportion Var         0.33 0.31
## Cumulative Var         0.33 0.63
## Proportion Explained   0.52 0.48
## Cumulative Proportion  0.52 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.74
## PA2 0.74 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  32.44
## The degrees of freedom for the model are 404  and the objective function was  4.67 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.96 0.96
## Minimum correlation of possible factor scores     0.93 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## appealing        1 0.90 0.813 0.19   1
## nice            22 0.89 0.795 0.20   1
## likable         19 0.89 0.794 0.21   1
## enjoyable       13 0.89 0.789 0.21   1
## delightful      10 0.88 0.781 0.22   1
## pleasing        24 0.88 0.771 0.23   1
## pretty          25 0.85 0.726 0.27   1
## attractive       3 0.85 0.722 0.28   1
## satisfying      28 0.84 0.705 0.29   1
## beautiful        5 0.84 0.703 0.30   1
## inviting        18 0.83 0.687 0.31   1
## tasteful        30 0.83 0.684 0.32   1
## lovely          20 0.83 0.682 0.32   1
## harmonious      16 0.81 0.652 0.35   1
## engaging        12 0.80 0.647 0.35   1
## elegant         11 0.80 0.633 0.37   1
## exciting        14 0.79 0.622 0.38   1
## motivating      21 0.77 0.588 0.41   1
## wellDesigned    31 0.76 0.582 0.42   1
## interesting     17 0.74 0.543 0.46   1
## balanced         4 0.74 0.543 0.46   1
## fascinating     15 0.71 0.501 0.50   1
## sophisticated   29 0.71 0.500 0.50   1
## clean            6 0.67 0.449 0.55   1
## artistic         2 0.67 0.443 0.56   1
## organized       23 0.65 0.426 0.57   1
## creative         9 0.65 0.418 0.58   1
## colorHarmonious  8 0.64 0.406 0.59   1
## professional    26 0.60 0.355 0.64   1
## provoking       27 0.35 0.126 0.87   1
## cluttered        7 0.24 0.056 0.94   1
## 
##                  PA1
## SS loadings    18.14
## Proportion Var  0.59
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  32.44
## The degrees of freedom for the model are 434  and the objective function was  6.31 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2    h2   u2 com
## organized         23  0.83 0.10 0.691 0.31 1.0
## balanced           4  0.76 0.28 0.656 0.34 1.3
## harmonious        16  0.76 0.38 0.719 0.28 1.5
## clean              6  0.75 0.20 0.601 0.40 1.1
## wellDesigned      31  0.72 0.36 0.645 0.36 1.5
## appealing          1  0.68 0.59 0.813 0.19 2.0
## satisfying        28  0.68 0.51 0.716 0.28 1.9
## pleasing          24  0.67 0.57 0.773 0.23 2.0
## nice              22  0.67 0.59 0.795 0.21 2.0
## professional      26  0.66 0.18 0.468 0.53 1.1
## delightful        10  0.66 0.59 0.780 0.22 2.0
## elegant           11  0.64 0.48 0.643 0.36 1.8
## likable           19  0.63 0.63 0.792 0.21 2.0
## lovely            20  0.58 0.58 0.681 0.32 2.0
## colorHarmonious    8  0.49 0.41 0.407 0.59 1.9
## cluttered          7  0.24 0.09 0.067 0.93 1.3
## creative           9  0.19 0.74 0.584 0.42 1.1
## fascinating       15  0.28 0.74 0.621 0.38 1.3
## artistic           2  0.26 0.69 0.546 0.45 1.3
## interesting       17  0.37 0.68 0.602 0.40 1.5
## exciting          14  0.44 0.68 0.657 0.34 1.7
## attractive         3  0.54 0.66 0.730 0.27 1.9
## enjoyable         13  0.60 0.65 0.790 0.21 2.0
## engaging          12  0.49 0.65 0.662 0.34 1.9
## beautiful          5  0.54 0.65 0.710 0.29 1.9
## pretty            25  0.57 0.64 0.729 0.27 2.0
## tasteful          30  0.53 0.64 0.691 0.31 1.9
## inviting          18  0.56 0.61 0.687 0.31 2.0
## motivating        21  0.48 0.61 0.597 0.40 1.9
## provoking         27 -0.04 0.56 0.315 0.69 1.0
## sophisticated     29  0.45 0.55 0.506 0.49 1.9
## 
##                         PA1  PA2
## SS loadings           10.11 9.57
## Proportion Var         0.33 0.31
## Cumulative Var         0.33 0.63
## Proportion Explained   0.51 0.49
## Cumulative Proportion  0.51 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  32.44
## The degrees of freedom for the model are 404  and the objective function was  4.67 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.94
## Multiple R square of scores with factors          0.90 0.89
## Minimum correlation of possible factor scores     0.79 0.77
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## organized         23  1.06 -0.36 0.691 0.31 1.2
## clean              6  0.90 -0.18 0.601 0.40 1.1
## balanced           4  0.86 -0.07 0.656 0.34 1.0
## harmonious        16  0.79  0.07 0.719 0.28 1.0
## professional      26  0.79 -0.15 0.468 0.53 1.1
## wellDesigned      31  0.76  0.06 0.645 0.36 1.0
## satisfying        28  0.61  0.29 0.716 0.28 1.4
## elegant           11  0.59  0.26 0.643 0.36 1.4
## appealing          1  0.57  0.40 0.813 0.19 1.8
## pleasing          24  0.56  0.38 0.773 0.23 1.8
## nice              22  0.55  0.41 0.795 0.21 1.9
## delightful        10  0.53  0.41 0.780 0.22 1.9
## likable           19  0.48  0.48 0.792 0.21 2.0
## colorHarmonious    8  0.41  0.27 0.407 0.59 1.7
## cluttered          7  0.28 -0.03 0.067 0.93 1.0
## creative           9 -0.19  0.89 0.584 0.42 1.1
## fascinating       15 -0.07  0.84 0.621 0.38 1.0
## provoking         27 -0.40  0.79 0.315 0.69 1.5
## artistic           2 -0.06  0.78 0.546 0.45 1.0
## interesting       17  0.08  0.71 0.602 0.40 1.0
## exciting          14  0.19  0.66 0.657 0.34 1.2
## engaging          12  0.28  0.59 0.662 0.34 1.4
## attractive         3  0.34  0.57 0.730 0.27 1.6
## beautiful          5  0.34  0.56 0.710 0.29 1.7
## tasteful          30  0.34  0.55 0.691 0.31 1.7
## motivating        21  0.29  0.54 0.597 0.40 1.5
## pretty            25  0.38  0.53 0.729 0.27 1.8
## enjoyable         13  0.42  0.53 0.790 0.21 1.9
## inviting          18  0.40  0.49 0.687 0.31 1.9
## sophisticated     29  0.28  0.48 0.506 0.49 1.6
## lovely            20  0.44  0.45 0.681 0.32 2.0
## 
##                         PA1  PA2
## SS loadings           10.16 9.52
## Proportion Var         0.33 0.31
## Cumulative Var         0.33 0.63
## Proportion Explained   0.52 0.48
## Cumulative Proportion  0.52 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.74
## PA2 0.74 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  32.44
## The degrees of freedom for the model are 404  and the objective function was  4.67 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.96 0.96
## Minimum correlation of possible factor scores     0.93 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  3  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## appealing        1 0.90 0.813 0.19   1
## nice            22 0.89 0.795 0.20   1
## likable         19 0.89 0.794 0.21   1
## enjoyable       13 0.89 0.789 0.21   1
## delightful      10 0.88 0.781 0.22   1
## pleasing        24 0.88 0.771 0.23   1
## pretty          25 0.85 0.726 0.27   1
## attractive       3 0.85 0.722 0.28   1
## satisfying      28 0.84 0.705 0.29   1
## beautiful        5 0.84 0.703 0.30   1
## inviting        18 0.83 0.687 0.31   1
## tasteful        30 0.83 0.684 0.32   1
## lovely          20 0.83 0.682 0.32   1
## harmonious      16 0.81 0.652 0.35   1
## engaging        12 0.80 0.647 0.35   1
## elegant         11 0.80 0.633 0.37   1
## exciting        14 0.79 0.622 0.38   1
## motivating      21 0.77 0.588 0.41   1
## wellDesigned    31 0.76 0.582 0.42   1
## interesting     17 0.74 0.543 0.46   1
## balanced         4 0.74 0.543 0.46   1
## fascinating     15 0.71 0.501 0.50   1
## sophisticated   29 0.71 0.500 0.50   1
## clean            6 0.67 0.449 0.55   1
## artistic         2 0.67 0.443 0.56   1
## organized       23 0.65 0.426 0.57   1
## creative         9 0.65 0.418 0.58   1
## colorHarmonious  8 0.64 0.406 0.59   1
## professional    26 0.60 0.355 0.64   1
## provoking       27 0.35 0.126 0.87   1
## cluttered        7 0.24 0.056 0.94   1
## 
##                  PA1
## SS loadings    18.14
## Proportion Var  0.59
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  32.44
## The degrees of freedom for the model are 434  and the objective function was  6.31 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2    h2   u2 com
## organized         23  0.83 0.10 0.691 0.31 1.0
## balanced           4  0.76 0.28 0.656 0.34 1.3
## harmonious        16  0.76 0.38 0.719 0.28 1.5
## clean              6  0.75 0.20 0.601 0.40 1.1
## wellDesigned      31  0.72 0.36 0.645 0.36 1.5
## appealing          1  0.68 0.59 0.813 0.19 2.0
## satisfying        28  0.68 0.51 0.716 0.28 1.9
## pleasing          24  0.67 0.57 0.773 0.23 2.0
## nice              22  0.67 0.59 0.795 0.21 2.0
## professional      26  0.66 0.18 0.468 0.53 1.1
## delightful        10  0.66 0.59 0.780 0.22 2.0
## elegant           11  0.64 0.48 0.643 0.36 1.8
## likable           19  0.63 0.63 0.792 0.21 2.0
## lovely            20  0.58 0.58 0.681 0.32 2.0
## colorHarmonious    8  0.49 0.41 0.407 0.59 1.9
## cluttered          7  0.24 0.09 0.067 0.93 1.3
## creative           9  0.19 0.74 0.584 0.42 1.1
## fascinating       15  0.28 0.74 0.621 0.38 1.3
## artistic           2  0.26 0.69 0.546 0.45 1.3
## interesting       17  0.37 0.68 0.602 0.40 1.5
## exciting          14  0.44 0.68 0.657 0.34 1.7
## attractive         3  0.54 0.66 0.730 0.27 1.9
## enjoyable         13  0.60 0.65 0.790 0.21 2.0
## engaging          12  0.49 0.65 0.662 0.34 1.9
## beautiful          5  0.54 0.65 0.710 0.29 1.9
## pretty            25  0.57 0.64 0.729 0.27 2.0
## tasteful          30  0.53 0.64 0.691 0.31 1.9
## inviting          18  0.56 0.61 0.687 0.31 2.0
## motivating        21  0.48 0.61 0.597 0.40 1.9
## provoking         27 -0.04 0.56 0.315 0.69 1.0
## sophisticated     29  0.45 0.55 0.506 0.49 1.9
## 
##                         PA1  PA2
## SS loadings           10.11 9.57
## Proportion Var         0.33 0.31
## Cumulative Var         0.33 0.63
## Proportion Explained   0.51 0.49
## Cumulative Proportion  0.51 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  32.44
## The degrees of freedom for the model are 404  and the objective function was  4.67 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.94
## Multiple R square of scores with factors          0.90 0.89
## Minimum correlation of possible factor scores     0.79 0.77
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## organized         23  1.06 -0.36 0.691 0.31 1.2
## clean              6  0.90 -0.18 0.601 0.40 1.1
## balanced           4  0.86 -0.07 0.656 0.34 1.0
## harmonious        16  0.79  0.07 0.719 0.28 1.0
## professional      26  0.79 -0.15 0.468 0.53 1.1
## wellDesigned      31  0.76  0.06 0.645 0.36 1.0
## satisfying        28  0.61  0.29 0.716 0.28 1.4
## elegant           11  0.59  0.26 0.643 0.36 1.4
## appealing          1  0.57  0.40 0.813 0.19 1.8
## pleasing          24  0.56  0.38 0.773 0.23 1.8
## nice              22  0.55  0.41 0.795 0.21 1.9
## delightful        10  0.53  0.41 0.780 0.22 1.9
## likable           19  0.48  0.48 0.792 0.21 2.0
## colorHarmonious    8  0.41  0.27 0.407 0.59 1.7
## cluttered          7  0.28 -0.03 0.067 0.93 1.0
## creative           9 -0.19  0.89 0.584 0.42 1.1
## fascinating       15 -0.07  0.84 0.621 0.38 1.0
## provoking         27 -0.40  0.79 0.315 0.69 1.5
## artistic           2 -0.06  0.78 0.546 0.45 1.0
## interesting       17  0.08  0.71 0.602 0.40 1.0
## exciting          14  0.19  0.66 0.657 0.34 1.2
## engaging          12  0.28  0.59 0.662 0.34 1.4
## attractive         3  0.34  0.57 0.730 0.27 1.6
## beautiful          5  0.34  0.56 0.710 0.29 1.7
## tasteful          30  0.34  0.55 0.691 0.31 1.7
## motivating        21  0.29  0.54 0.597 0.40 1.5
## pretty            25  0.38  0.53 0.729 0.27 1.8
## enjoyable         13  0.42  0.53 0.790 0.21 1.9
## inviting          18  0.40  0.49 0.687 0.31 1.9
## sophisticated     29  0.28  0.48 0.506 0.49 1.6
## lovely            20  0.44  0.45 0.681 0.32 2.0
## 
##                         PA1  PA2
## SS loadings           10.16 9.52
## Proportion Var         0.33 0.31
## Cumulative Var         0.33 0.63
## Proportion Explained   0.52 0.48
## Cumulative Proportion  0.52 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.74
## PA2 0.74 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  32.44
## The degrees of freedom for the model are 404  and the objective function was  4.67 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.96 0.96
## Minimum correlation of possible factor scores     0.93 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## appealing        1 0.90 0.813 0.19   1
## nice            22 0.89 0.795 0.20   1
## likable         19 0.89 0.794 0.21   1
## enjoyable       13 0.89 0.789 0.21   1
## delightful      10 0.88 0.781 0.22   1
## pleasing        24 0.88 0.771 0.23   1
## pretty          25 0.85 0.726 0.27   1
## attractive       3 0.85 0.722 0.28   1
## satisfying      28 0.84 0.705 0.29   1
## beautiful        5 0.84 0.703 0.30   1
## inviting        18 0.83 0.687 0.31   1
## tasteful        30 0.83 0.684 0.32   1
## lovely          20 0.83 0.682 0.32   1
## harmonious      16 0.81 0.652 0.35   1
## engaging        12 0.80 0.647 0.35   1
## elegant         11 0.80 0.633 0.37   1
## exciting        14 0.79 0.622 0.38   1
## motivating      21 0.77 0.588 0.41   1
## wellDesigned    31 0.76 0.582 0.42   1
## interesting     17 0.74 0.543 0.46   1
## balanced         4 0.74 0.543 0.46   1
## fascinating     15 0.71 0.501 0.50   1
## sophisticated   29 0.71 0.500 0.50   1
## clean            6 0.67 0.449 0.55   1
## artistic         2 0.67 0.443 0.56   1
## organized       23 0.65 0.426 0.57   1
## creative         9 0.65 0.418 0.58   1
## colorHarmonious  8 0.64 0.406 0.59   1
## professional    26 0.60 0.355 0.64   1
## provoking       27 0.35 0.126 0.87   1
## cluttered        7 0.24 0.056 0.94   1
## 
##                  PA1
## SS loadings    18.14
## Proportion Var  0.59
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  32.44
## The degrees of freedom for the model are 434  and the objective function was  6.31 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2    h2   u2 com
## organized         23  0.83 0.10 0.691 0.31 1.0
## balanced           4  0.76 0.28 0.656 0.34 1.3
## harmonious        16  0.76 0.38 0.719 0.28 1.5
## clean              6  0.75 0.20 0.601 0.40 1.1
## wellDesigned      31  0.72 0.36 0.645 0.36 1.5
## appealing          1  0.68 0.59 0.813 0.19 2.0
## satisfying        28  0.68 0.51 0.716 0.28 1.9
## pleasing          24  0.67 0.57 0.773 0.23 2.0
## nice              22  0.67 0.59 0.795 0.21 2.0
## professional      26  0.66 0.18 0.468 0.53 1.1
## delightful        10  0.66 0.59 0.780 0.22 2.0
## elegant           11  0.64 0.48 0.643 0.36 1.8
## likable           19  0.63 0.63 0.792 0.21 2.0
## lovely            20  0.58 0.58 0.681 0.32 2.0
## colorHarmonious    8  0.49 0.41 0.407 0.59 1.9
## cluttered          7  0.24 0.09 0.067 0.93 1.3
## creative           9  0.19 0.74 0.584 0.42 1.1
## fascinating       15  0.28 0.74 0.621 0.38 1.3
## artistic           2  0.26 0.69 0.546 0.45 1.3
## interesting       17  0.37 0.68 0.602 0.40 1.5
## exciting          14  0.44 0.68 0.657 0.34 1.7
## attractive         3  0.54 0.66 0.730 0.27 1.9
## enjoyable         13  0.60 0.65 0.790 0.21 2.0
## engaging          12  0.49 0.65 0.662 0.34 1.9
## beautiful          5  0.54 0.65 0.710 0.29 1.9
## pretty            25  0.57 0.64 0.729 0.27 2.0
## tasteful          30  0.53 0.64 0.691 0.31 1.9
## inviting          18  0.56 0.61 0.687 0.31 2.0
## motivating        21  0.48 0.61 0.597 0.40 1.9
## provoking         27 -0.04 0.56 0.315 0.69 1.0
## sophisticated     29  0.45 0.55 0.506 0.49 1.9
## 
##                         PA1  PA2
## SS loadings           10.11 9.57
## Proportion Var         0.33 0.31
## Cumulative Var         0.33 0.63
## Proportion Explained   0.51 0.49
## Cumulative Proportion  0.51 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  32.44
## The degrees of freedom for the model are 404  and the objective function was  4.67 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.94
## Multiple R square of scores with factors          0.90 0.89
## Minimum correlation of possible factor scores     0.79 0.77
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## organized         23  1.06 -0.36 0.691 0.31 1.2
## clean              6  0.90 -0.18 0.601 0.40 1.1
## balanced           4  0.86 -0.07 0.656 0.34 1.0
## harmonious        16  0.79  0.07 0.719 0.28 1.0
## professional      26  0.79 -0.15 0.468 0.53 1.1
## wellDesigned      31  0.76  0.06 0.645 0.36 1.0
## satisfying        28  0.61  0.29 0.716 0.28 1.4
## elegant           11  0.59  0.26 0.643 0.36 1.4
## appealing          1  0.57  0.40 0.813 0.19 1.8
## pleasing          24  0.56  0.38 0.773 0.23 1.8
## nice              22  0.55  0.41 0.795 0.21 1.9
## delightful        10  0.53  0.41 0.780 0.22 1.9
## likable           19  0.48  0.48 0.792 0.21 2.0
## colorHarmonious    8  0.41  0.27 0.407 0.59 1.7
## cluttered          7  0.28 -0.03 0.067 0.93 1.0
## creative           9 -0.19  0.89 0.584 0.42 1.1
## fascinating       15 -0.07  0.84 0.621 0.38 1.0
## provoking         27 -0.40  0.79 0.315 0.69 1.5
## artistic           2 -0.06  0.78 0.546 0.45 1.0
## interesting       17  0.08  0.71 0.602 0.40 1.0
## exciting          14  0.19  0.66 0.657 0.34 1.2
## engaging          12  0.28  0.59 0.662 0.34 1.4
## attractive         3  0.34  0.57 0.730 0.27 1.6
## beautiful          5  0.34  0.56 0.710 0.29 1.7
## tasteful          30  0.34  0.55 0.691 0.31 1.7
## motivating        21  0.29  0.54 0.597 0.40 1.5
## pretty            25  0.38  0.53 0.729 0.27 1.8
## enjoyable         13  0.42  0.53 0.790 0.21 1.9
## inviting          18  0.40  0.49 0.687 0.31 1.9
## sophisticated     29  0.28  0.48 0.506 0.49 1.6
## lovely            20  0.44  0.45 0.681 0.32 2.0
## 
##                         PA1  PA2
## SS loadings           10.16 9.52
## Proportion Var         0.33 0.31
## Cumulative Var         0.33 0.63
## Proportion Explained   0.52 0.48
## Cumulative Proportion  0.52 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.74
## PA2 0.74 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  32.44
## The degrees of freedom for the model are 404  and the objective function was  4.67 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.96 0.96
## Minimum correlation of possible factor scores     0.93 0.91

## 
## 
## ## Scree Plot and Parallel Analysis

## Parallel analysis suggests that the number of factors =  2  and the number of components =  NA 
## 
## 
## 
## 
## ## Exploratory Factor Analysis - 1 Factor - No Rotation
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                  V  PA1    h2   u2 com
## appealing        1 0.90 0.813 0.19   1
## nice            22 0.89 0.795 0.20   1
## likable         19 0.89 0.794 0.21   1
## enjoyable       13 0.89 0.789 0.21   1
## delightful      10 0.88 0.781 0.22   1
## pleasing        24 0.88 0.771 0.23   1
## pretty          25 0.85 0.726 0.27   1
## attractive       3 0.85 0.722 0.28   1
## satisfying      28 0.84 0.705 0.29   1
## beautiful        5 0.84 0.703 0.30   1
## inviting        18 0.83 0.687 0.31   1
## tasteful        30 0.83 0.684 0.32   1
## lovely          20 0.83 0.682 0.32   1
## harmonious      16 0.81 0.652 0.35   1
## engaging        12 0.80 0.647 0.35   1
## elegant         11 0.80 0.633 0.37   1
## exciting        14 0.79 0.622 0.38   1
## motivating      21 0.77 0.588 0.41   1
## wellDesigned    31 0.76 0.582 0.42   1
## interesting     17 0.74 0.543 0.46   1
## balanced         4 0.74 0.543 0.46   1
## fascinating     15 0.71 0.501 0.50   1
## sophisticated   29 0.71 0.500 0.50   1
## clean            6 0.67 0.449 0.55   1
## artistic         2 0.67 0.443 0.56   1
## organized       23 0.65 0.426 0.57   1
## creative         9 0.65 0.418 0.58   1
## colorHarmonious  8 0.64 0.406 0.59   1
## professional    26 0.60 0.355 0.64   1
## provoking       27 0.35 0.126 0.87   1
## cluttered        7 0.24 0.056 0.94   1
## 
##                  PA1
## SS loadings    18.14
## Proportion Var  0.59
## 
## Mean item complexity =  1
## Test of the hypothesis that 1 factor is sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  32.44
## The degrees of freedom for the model are 434  and the objective function was  6.31 
## 
## The root mean square of the residuals (RMSR) is  0.06 
## The df corrected root mean square of the residuals is  0.06 
## 
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    PA1
## Correlation of (regression) scores with factors   0.99
## Multiple R square of scores with factors          0.98
## Minimum correlation of possible factor scores     0.96
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Varimax Rotation(Orthogonal rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1  PA2    h2   u2 com
## organized         23  0.83 0.10 0.691 0.31 1.0
## balanced           4  0.76 0.28 0.656 0.34 1.3
## harmonious        16  0.76 0.38 0.719 0.28 1.5
## clean              6  0.75 0.20 0.601 0.40 1.1
## wellDesigned      31  0.72 0.36 0.645 0.36 1.5
## appealing          1  0.68 0.59 0.813 0.19 2.0
## satisfying        28  0.68 0.51 0.716 0.28 1.9
## pleasing          24  0.67 0.57 0.773 0.23 2.0
## nice              22  0.67 0.59 0.795 0.21 2.0
## professional      26  0.66 0.18 0.468 0.53 1.1
## delightful        10  0.66 0.59 0.780 0.22 2.0
## elegant           11  0.64 0.48 0.643 0.36 1.8
## likable           19  0.63 0.63 0.792 0.21 2.0
## lovely            20  0.58 0.58 0.681 0.32 2.0
## colorHarmonious    8  0.49 0.41 0.407 0.59 1.9
## cluttered          7  0.24 0.09 0.067 0.93 1.3
## creative           9  0.19 0.74 0.584 0.42 1.1
## fascinating       15  0.28 0.74 0.621 0.38 1.3
## artistic           2  0.26 0.69 0.546 0.45 1.3
## interesting       17  0.37 0.68 0.602 0.40 1.5
## exciting          14  0.44 0.68 0.657 0.34 1.7
## attractive         3  0.54 0.66 0.730 0.27 1.9
## enjoyable         13  0.60 0.65 0.790 0.21 2.0
## engaging          12  0.49 0.65 0.662 0.34 1.9
## beautiful          5  0.54 0.65 0.710 0.29 1.9
## pretty            25  0.57 0.64 0.729 0.27 2.0
## tasteful          30  0.53 0.64 0.691 0.31 1.9
## inviting          18  0.56 0.61 0.687 0.31 2.0
## motivating        21  0.48 0.61 0.597 0.40 1.9
## provoking         27 -0.04 0.56 0.315 0.69 1.0
## sophisticated     29  0.45 0.55 0.506 0.49 1.9
## 
##                         PA1  PA2
## SS loadings           10.11 9.57
## Proportion Var         0.33 0.31
## Cumulative Var         0.33 0.63
## Proportion Explained   0.51 0.49
## Cumulative Proportion  0.51 1.00
## 
## Mean item complexity =  1.7
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  32.44
## The degrees of freedom for the model are 404  and the objective function was  4.67 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.95 0.94
## Multiple R square of scores with factors          0.90 0.89
## Minimum correlation of possible factor scores     0.79 0.77
## 
## 
## ## Exploratory Factor Analysis - 2 Factors - Promax Rotation(Pblique rotation)
## Factor Analysis using method =  pa
## Call: fa(r = correlation(num, data), nfactors = factor, rotate = rotation, 
##     fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                 item   PA1   PA2    h2   u2 com
## organized         23  1.06 -0.36 0.691 0.31 1.2
## clean              6  0.90 -0.18 0.601 0.40 1.1
## balanced           4  0.86 -0.07 0.656 0.34 1.0
## harmonious        16  0.79  0.07 0.719 0.28 1.0
## professional      26  0.79 -0.15 0.468 0.53 1.1
## wellDesigned      31  0.76  0.06 0.645 0.36 1.0
## satisfying        28  0.61  0.29 0.716 0.28 1.4
## elegant           11  0.59  0.26 0.643 0.36 1.4
## appealing          1  0.57  0.40 0.813 0.19 1.8
## pleasing          24  0.56  0.38 0.773 0.23 1.8
## nice              22  0.55  0.41 0.795 0.21 1.9
## delightful        10  0.53  0.41 0.780 0.22 1.9
## likable           19  0.48  0.48 0.792 0.21 2.0
## colorHarmonious    8  0.41  0.27 0.407 0.59 1.7
## cluttered          7  0.28 -0.03 0.067 0.93 1.0
## creative           9 -0.19  0.89 0.584 0.42 1.1
## fascinating       15 -0.07  0.84 0.621 0.38 1.0
## provoking         27 -0.40  0.79 0.315 0.69 1.5
## artistic           2 -0.06  0.78 0.546 0.45 1.0
## interesting       17  0.08  0.71 0.602 0.40 1.0
## exciting          14  0.19  0.66 0.657 0.34 1.2
## engaging          12  0.28  0.59 0.662 0.34 1.4
## attractive         3  0.34  0.57 0.730 0.27 1.6
## beautiful          5  0.34  0.56 0.710 0.29 1.7
## tasteful          30  0.34  0.55 0.691 0.31 1.7
## motivating        21  0.29  0.54 0.597 0.40 1.5
## pretty            25  0.38  0.53 0.729 0.27 1.8
## enjoyable         13  0.42  0.53 0.790 0.21 1.9
## inviting          18  0.40  0.49 0.687 0.31 1.9
## sophisticated     29  0.28  0.48 0.506 0.49 1.6
## lovely            20  0.44  0.45 0.681 0.32 2.0
## 
##                         PA1  PA2
## SS loadings           10.16 9.52
## Proportion Var         0.33 0.31
## Cumulative Var         0.33 0.63
## Proportion Explained   0.52 0.48
## Cumulative Proportion  0.52 1.00
## 
##  With factor correlations of 
##      PA1  PA2
## PA1 1.00 0.74
## PA2 0.74 1.00
## 
## Mean item complexity =  1.5
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  465  and the objective function was  32.44
## The degrees of freedom for the model are 404  and the objective function was  4.67 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.04 
## 
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy             
##                                                    PA1  PA2
## Correlation of (regression) scores with factors   0.98 0.98
## Multiple R square of scores with factors          0.96 0.96
## Minimum correlation of possible factor scores     0.93 0.91

Table for number of factors for all images

colnames(df_nfactor) <- list_nfactor_column_name
df_nfactor[nrow(df_nfactor) + 1,] <- list_nfactor
row.names(df_nfactor) <- "Factors"
write.table(df_nfactor, paste("results/factor_numbers.tsv",sep=""),row.names=FALSE,sep='\t')

Factor Loadings for all images from the chosen FA method

  write.table(df,"results/factorLoadings_all_images.tsv",row.names=FALSE,sep='\t')
  print(xtable(df),type="html")

	terms	PA1 Image 1	PA1 Image 2	PA1 Image 3	PA1 Image 4	PA1 Image 5	PA1 Image 6	PA1 Image 7	PA1 Image 8	PA1 Image 9	PA1 Image 10	PA1 Image 11	PA1 Image 12	PA1 Image 13	PA1 Image 14	PA1 Image 15
1	appealing	0.85	0.80	0.80	0.84	0.87	0.83	0.88	0.85	0.85	0.88	0.85	0.88	0.88	0.83	0.90
2	artistic	0.52	0.49	0.51	0.59	0.66	0.63	0.69	0.61	0.56	0.66	0.64	0.69	0.55	0.58	0.67
3	attractive	0.84	0.78	0.81	0.81	0.86	0.87	0.89	0.84	0.84	0.86	0.85	0.87	0.86	0.84	0.85
4	balanced	0.69	0.63	0.61	0.73	0.71	0.69	0.59	0.70	0.65	0.77	0.74	0.66	0.68	0.71	0.74
5	beautiful	0.84	0.77	0.76	0.79	0.84	0.78	0.87	0.81	0.76	0.82	0.85	0.85	0.78	0.82	0.84
6	clean	0.73	0.70	0.71	0.64	0.70	0.60	0.66	0.70	0.60	0.68	0.71	0.71	0.63	0.73	0.67
7	cluttered	0.30	-0.33	0.03	0.15	0.39	0.18	0.27	0.34	0.41	0.45	0.21	-0.05	0.12	0.05	0.24
8	colorHarmonious	0.65	0.59	0.63	0.63	0.64	0.63	0.48	0.55	0.43	0.62	0.51	0.62	0.43	0.64	0.64
9	creative	0.53	0.49	0.55	0.60	0.67	0.62	0.66	0.70	0.62	0.68	0.65	0.64	0.58	0.54	0.65
10	delightful	0.86	0.74	0.78	0.85	0.83	0.81	0.89	0.82	0.79	0.82	0.86	0.88	0.89	0.84	0.88
11	elegant	0.83	0.76	0.71	0.78	0.74	0.68	0.83	0.69	0.71	0.84	0.76	0.80	0.78	0.74	0.80
12	engaging	0.79	0.70	0.76	0.74	0.78	0.78	0.82	0.83	0.74	0.76	0.79	0.77	0.80	0.73	0.80
13	enjoyable	0.87	0.78	0.83	0.86	0.86	0.84	0.88	0.87	0.84	0.87	0.85	0.88	0.83	0.85	0.89
14	exciting	0.79	0.66	0.72	0.76	0.81	0.76	0.81	0.77	0.70	0.77	0.82	0.77	0.79	0.75	0.79
15	fascinating	0.68	0.64	0.73	0.77	0.70	0.72	0.80	0.71	0.72	0.66	0.73	0.77	0.76	0.70	0.71
16	harmonious	0.79	0.69	0.76	0.75	0.82	0.74	0.74	0.74	0.69	0.80	0.77	0.80	0.76	0.75	0.81
17	interesting	0.70	0.70	0.71	0.74	0.76	0.71	0.73	0.74	0.61	0.64	0.70	0.73	0.74	0.59	0.74
18	inviting	0.83	0.74	0.71	0.73	0.82	0.80	0.84	0.85	0.78	0.78	0.83	0.78	0.84	0.76	0.83
19	likable	0.91	0.79	0.88	0.87	0.86	0.84	0.90	0.88	0.84	0.86	0.85	0.89	0.87	0.87	0.89
20	lovely	0.85	0.75	0.78	0.82	0.80	0.77	0.83	0.81	0.74	0.81	0.86	0.86	0.83	0.79	0.83
21	motivating	0.74	0.65	0.71	0.77	0.83	0.78	0.84	0.75	0.75	0.77	0.78	0.71	0.83	0.76	0.77
22	nice	0.90	0.81	0.81	0.82	0.87	0.83	0.87	0.87	0.81	0.85	0.84	0.82	0.89	0.82	0.89
23	organized	0.59	0.61	0.62	0.74	0.67	0.59	0.55	0.60	0.59	0.66	0.64	0.66	0.65	0.62	0.65
24	pleasing	0.85	0.80	0.84	0.88	0.89	0.87	0.90	0.84	0.80	0.88	0.87	0.88	0.87	0.84	0.88
25	pretty	0.85	0.76	0.77	0.78	0.81	0.81	0.88	0.79	0.76	0.80	0.84	0.85	0.83	0.86	0.85
26	professional	0.63	0.67	0.52	0.61	0.62	0.53	0.60	0.46	0.50	0.61	0.52	0.67	0.67	0.62	0.60
27	provoking	0.17	0.20	0.22	0.28	0.28	0.33	0.19	0.37	0.32	0.27	0.40	0.32	0.22	0.22	0.35
28	satisfying	0.77	0.73	0.77	0.83	0.85	0.80	0.90	0.80	0.82	0.85	0.86	0.87	0.85	0.81	0.84
29	sophisticated	0.68	0.63	0.62	0.63	0.61	0.62	0.73	0.65	0.66	0.63	0.63	0.75	0.71	0.71	0.71
30	tasteful	0.78	0.64	0.68	0.72	0.77	0.78	0.80	0.81	0.81	0.80	0.82	0.76	0.81	0.77	0.83
31	wellDesigned	0.76	0.71	0.67	0.77	0.81	0.73	0.69	0.71	0.73	0.74	0.76	0.81	0.81	0.66	0.76

Terms for which all factor loadings are >.7

  remainingTerms <- df %>% filter_all(all_vars(. > 0.7))
  write.table(remainingTerms,"results/factorLoadingsAbove_.7_all_images.tsv",row.names=FALSE,sep='\t')
  print(xtable(remainingTerms),type="html")

	terms	PA1 Image 1	PA1 Image 2	PA1 Image 3	PA1 Image 4	PA1 Image 5	PA1 Image 6	PA1 Image 7	PA1 Image 8	PA1 Image 9	PA1 Image 10	PA1 Image 11	PA1 Image 12	PA1 Image 13	PA1 Image 14	PA1 Image 15
1	appealing	0.85	0.80	0.80	0.84	0.87	0.83	0.88	0.85	0.85	0.88	0.85	0.88	0.88	0.83	0.90
2	attractive	0.84	0.78	0.81	0.81	0.86	0.87	0.89	0.84	0.84	0.86	0.85	0.87	0.86	0.84	0.85
3	beautiful	0.84	0.77	0.76	0.79	0.84	0.78	0.87	0.81	0.76	0.82	0.85	0.85	0.78	0.82	0.84
4	delightful	0.86	0.74	0.78	0.85	0.83	0.81	0.89	0.82	0.79	0.82	0.86	0.88	0.89	0.84	0.88
5	enjoyable	0.87	0.78	0.83	0.86	0.86	0.84	0.88	0.87	0.84	0.87	0.85	0.88	0.83	0.85	0.89
6	inviting	0.83	0.74	0.71	0.73	0.82	0.80	0.84	0.85	0.78	0.78	0.83	0.78	0.84	0.76	0.83
7	likable	0.91	0.79	0.88	0.87	0.86	0.84	0.90	0.88	0.84	0.86	0.85	0.89	0.87	0.87	0.89
8	lovely	0.85	0.75	0.78	0.82	0.80	0.77	0.83	0.81	0.74	0.81	0.86	0.86	0.83	0.79	0.83
9	nice	0.90	0.81	0.81	0.82	0.87	0.83	0.87	0.87	0.81	0.85	0.84	0.82	0.89	0.82	0.89
10	pleasing	0.85	0.80	0.84	0.88	0.89	0.87	0.90	0.84	0.80	0.88	0.87	0.88	0.87	0.84	0.88
11	pretty	0.85	0.76	0.77	0.78	0.81	0.81	0.88	0.79	0.76	0.80	0.84	0.85	0.83	0.86	0.85
12	satisfying	0.77	0.73	0.77	0.83	0.85	0.80	0.90	0.80	0.82	0.85	0.86	0.87	0.85	0.81	0.84

Reduce Items - Calculate Alpha

This code calculates the average ratings each image received from participants and saves them as plots with CIs. This analysis is partly exploratory as we check what would have happened if participants had used some of our reduced scale.

Setup

source("03_EFA/CI-Functions.R")

## 
## Attaching package: 'boot'

## The following object is masked from 'package:psych':
## 
##     logit

participantResponseFiles <- list.files(path= "03_EFA/data",pattern = "\\.csv$") #names correspond to images, one participant per row, one word per

print(participantResponseFiles)

##  [1] "vis01.csv" "vis02.csv" "vis03.csv" "vis04.csv" "vis05.csv" "vis06.csv"
##  [7] "vis07.csv" "vis08.csv" "vis09.csv" "vis10.csv" "vis11.csv" "vis12.csv"
## [13] "vis13.csv" "vis14.csv" "vis15.csv"

Functions

This one cleans up the column names for each image’s responses

cleanColnames <- function(data){
  newNames <- gsub("^.+?\\.(.+?)\\..*$", "\\1", colnames(data))
  return(newNames)
}

This functions draws a bar chart with confidence intervals

barChart <- function(resultTable, techniques, nbTechs = -1, ymin, ymax, xAxisLabel = "I am the X axis", yAxisLabel = "I am the Y Label",plotTitle){
  #tr <- t(resultTable)
  if(nbTechs <= 0){
    stop('Please give a positive number of Techniques, nbTechs');
  }
  
  tr <- as.data.frame(resultTable)
  nbTechs <- nbTechs - 1 ; # seq will generate nb+1
  
  #now need to calculate one number for the width of the interval
  tr$CI2 <- tr$upperBound_CI - tr$mean
  tr$CI1 <- tr$mean - tr$lowerBound_CI
  
  #add a technique column
  tr$technique <- factor(seq.int(0, nbTechs, 1));
  
  breaks <- c(as.character(tr$technique));
  print(tr)
  g <- ggplot(tr, aes(x=technique, y=mean)) + 
    #   geom_bar(stat="identity",fill = I("#CCCCCC")) +
    geom_errorbar(aes(ymin=mean-CI1, ymax=mean+CI2),
                  width=0,                    # Width of the error bars
                  size = 1.1
    ) +
    #labs(title="Overall time per technique") +
    labs(x = xAxisLabel, y = yAxisLabel) + 
    scale_y_continuous(limits = c(ymin,ymax),breaks=1:7) +
    scale_x_discrete(name="",breaks,techniques)+
    coord_flip() +
    ggtitle(plotTitle) +
    theme(panel.background = element_rect(fill = 'white', colour = 'white'),axis.title=element_text(size = rel(1.2), colour = "black"),axis.text=element_text(size = rel(1.2), colour = "black"),panel.grid.major = element_line(colour = "#DDDDDD"),panel.grid.major.y = element_blank(), panel.grid.minor.y = element_blank())+
    geom_point(size=2, colour="black")         # dots
  
  print(g)
}

This next function calculates the CIs of each image’s responses depending on the scale items (terms) given.

calculateDrawResponseCIs <- function(scaleItems){


  imageCount <- length(participantResponseFiles)
  pointEstimateVector = c()
  lowerBoundVector = c()
  upperBoundVector = c()
  imageVector = c()
  
  for (image in 1:imageCount){
  
    data <- read.csv(paste("03_EFA/data/",participantResponseFiles[[image]],sep=""), encoding="UTF-8")
    terms <- cleanColnames(data) 
    colnames(data) <- terms
    
    #exploratory trying to see what would happen if we had had a lot fewer participants
    #data <- data[sample(nrow(data), 24), ]
    
    data <- data[scaleItems]
  
    means <- rowMeans(data)
    
    imageVector <- append(imageVector,image)
    ci <- bootstrapMeanCI(means)
    pointEstimateVector <- append(pointEstimateVector,ci[1])
    upperBoundVector <- append(upperBoundVector,ci[3])
    lowerBoundVector <- append(lowerBoundVector,ci[2])
  }
  
  df <- data.frame(image=imageVector,mean=pointEstimateVector,lowerBound_CI=lowerBoundVector,upperBound_CI=upperBoundVector)
  plotTitle <- paste(paste("Average Rating for the",length(scaleItems)),"item scale")
  barChart(df,df$image ,nbTechs = 15, ymin = 1, ymax = 7, "Image", "Average Ratings",plotTitle)
  ggsave(paste("./results/",paste(plotTitle,".pdf",sep=""),sep=""), width=8, height=4, device=cairo_pdf)
  
  print(df)
  
  return(df)
}

As the ratings per image were done by different participant pools we don’t actually want to compare the ratings of each image.

generatePerImageTables <-function(dfs,titles){
  imageCounts <- length(participantResponseFiles)

  for(i in 1:imageCounts){
    pointEstimateVector = c()
    lowerBoundVector = c()
    upperBoundVector = c()
    scaleVector = c()
    
    dflength <- length(dfs)
    for(d in 1:dflength){
      scaleVector <- append(scaleVector,titles[d])
      df <- dfs[[d]]
      
      pointEstimateVector <- append(pointEstimateVector,df$mean[df$image==i])
      upperBoundVector <- append(upperBoundVector,df$upperBound_CI[df$image==i])
      lowerBoundVector <- append(lowerBoundVector,df$lowerBound_CI[df$image==i])
    }
    
    df <- data.frame(scale=scaleVector,mean=pointEstimateVector,lowerBound_CI=lowerBoundVector,upperBound_CI=upperBoundVector)
    plotTitle <- paste(paste("Image",i)," Ratings Per Scale")
    barChart(df,df$scale ,nbTechs = dflength, ymin = 1, ymax = 7, "Image", "Average Ratings",plotTitle)
    path<-paste("./results/",paste(plotTitle,".pdf",sep=""),sep="")
    print(path)
    ggsave(path, width=8, height=4,device=cairo_pdf)
  }
}

And now we run our tests

Average Ratings for the Test Scale

data <- read.csv(paste("03_EFA/data/",participantResponseFiles[[1]],sep=""), encoding="UTF-8")
scaleItems <- cleanColnames(data)
df31 <- calculateDrawResponseCIs(scaleItems)

##    image     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1      1 3.974755      3.796985      4.153331 0.1785762 0.1777700         0
## 2      2 4.920186      4.796959      5.033283 0.1130972 0.1232275         1
## 3      3 4.977655      4.829053      5.104957 0.1273013 0.1486024         2
## 4      4 4.640505      4.477054      4.794313 0.1538078 0.1634519         3
## 5      5 3.598448      3.432593      3.765694 0.1672456 0.1658551         4
## 6      6 4.359130      4.216120      4.508112 0.1489823 0.1430101         5
## 7      7 3.611879      3.429459      3.799131 0.1872515 0.1824202         6
## 8      8 3.338125      3.166305      3.504257 0.1661321 0.1718202         7
## 9      9 2.784523      2.637046      2.949720 0.1651967 0.1474777         8
## 10    10 3.292157      3.118713      3.459972 0.1678152 0.1734440         9
## 11    11 3.950283      3.778517      4.117025 0.1667422 0.1717659        10
## 12    12 4.329414      4.162565      4.492664 0.1632502 0.1668484        11
## 13    13 4.141023      3.968008      4.310758 0.1697348 0.1730153        12
## 14    14 3.850057      3.683969      4.008753 0.1586967 0.1660880        13
## 15    15 3.913176      3.734968      4.088589 0.1754133 0.1782079        14

##    image     mean lowerBound_CI upperBound_CI
## 1      1 3.974755      3.796985      4.153331
## 2      2 4.920186      4.796959      5.033283
## 3      3 4.977655      4.829053      5.104957
## 4      4 4.640505      4.477054      4.794313
## 5      5 3.598448      3.432593      3.765694
## 6      6 4.359130      4.216120      4.508112
## 7      7 3.611879      3.429459      3.799131
## 8      8 3.338125      3.166305      3.504257
## 9      9 2.784523      2.637046      2.949720
## 10    10 3.292157      3.118713      3.459972
## 11    11 3.950283      3.778517      4.117025
## 12    12 4.329414      4.162565      4.492664
## 13    13 4.141023      3.968008      4.310758
## 14    14 3.850057      3.683969      4.008753
## 15    15 3.913176      3.734968      4.088589

Average Ratings for the 3-Item Scale

scaleItems = c("enjoyable","likable","pleasing")
df3 <- calculateDrawResponseCIs(scaleItems)

##    image     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1      1 3.951087      3.715580      4.181159 0.2300725 0.2355072         0
## 2      2 5.249141      5.094502      5.388316 0.1391753 0.1546392         1
## 3      3 5.243902      5.047154      5.404878 0.1609756 0.1967480         2
## 4      4 4.731959      4.524308      4.927835 0.1958763 0.2076504         3
## 5      5 3.597484      3.394654      3.798742 0.2012579 0.2028302         4
## 6      6 4.579511      4.394495      4.755352 0.1758410 0.1850153         5
## 7      7 3.474427      3.239859      3.717813 0.2433862 0.2345679         6
## 8      8 3.492228      3.269430      3.708026 0.2157977 0.2227979         7
## 9      9 2.500000      2.323037      2.696629 0.1966292 0.1769628         8
## 10    10 3.159558      2.947867      3.370284 0.2107262 0.2116904         9
## 11    11 4.013746      3.805842      4.216495 0.2027491 0.2079038        10
## 12    12 4.495895      4.285714      4.697199 0.2013046 0.2101806        11
## 13    13 4.228621      4.012216      4.432810 0.2041885 0.2164049        12
## 14    14 3.480737      3.262982      3.686767 0.2060302 0.2177554        13
## 15    15 3.925373      3.703151      4.137645 0.2122720 0.2222222        14

##    image     mean lowerBound_CI upperBound_CI
## 1      1 3.951087      3.715580      4.181159
## 2      2 5.249141      5.094502      5.388316
## 3      3 5.243902      5.047154      5.404878
## 4      4 4.731959      4.524308      4.927835
## 5      5 3.597484      3.394654      3.798742
## 6      6 4.579511      4.394495      4.755352
## 7      7 3.474427      3.239859      3.717813
## 8      8 3.492228      3.269430      3.708026
## 9      9 2.500000      2.323037      2.696629
## 10    10 3.159558      2.947867      3.370284
## 11    11 4.013746      3.805842      4.216495
## 12    12 4.495895      4.285714      4.697199
## 13    13 4.228621      4.012216      4.432810
## 14    14 3.480737      3.262982      3.686767
## 15    15 3.925373      3.703151      4.137645

Average Ratings for the 4-Item Scale

scaleItems = c("enjoyable","likable","pleasing","nice")
df4 <- calculateDrawResponseCIs(scaleItems)

##    image     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1      1 3.970109      3.737772      4.199728 0.2296196 0.2323370         0
## 2      2 5.302835      5.150773      5.436856 0.1340206 0.1520619         1
## 3      3 5.237805      5.051220      5.393902 0.1560976 0.1865854         2
## 4      4 4.731959      4.530928      4.923969 0.1920103 0.2010309         3
## 5      5 3.666274      3.465802      3.866745 0.2004717 0.2004717         4
## 6      6 4.592890      4.411697      4.770642 0.1777523 0.1811927         5
## 7      7 3.513228      3.281746      3.748677 0.2354497 0.2314815         6
## 8      8 3.531088      3.309585      3.746114 0.2150259 0.2215026         7
## 9      9 2.546348      2.375000      2.744382 0.1980337 0.1713483         8
## 10    10 3.163507      2.958531      3.366114 0.2026066 0.2049763         9
## 11    11 4.052835      3.843148      4.247423 0.1945876 0.2096872        10
## 12    12 4.538177      4.334975      4.735222 0.1970443 0.2032020        11
## 13    13 4.243455      4.031414      4.446335 0.2028796 0.2120419        12
## 14    14 3.545226      3.327889      3.747487 0.2022613 0.2173367        13
## 15    15 3.947761      3.730100      4.161692 0.2139303 0.2176617        14

##    image     mean lowerBound_CI upperBound_CI
## 1      1 3.970109      3.737772      4.199728
## 2      2 5.302835      5.150773      5.436856
## 3      3 5.237805      5.051220      5.393902
## 4      4 4.731959      4.530928      4.923969
## 5      5 3.666274      3.465802      3.866745
## 6      6 4.592890      4.411697      4.770642
## 7      7 3.513228      3.281746      3.748677
## 8      8 3.531088      3.309585      3.746114
## 9      9 2.546348      2.375000      2.744382
## 10    10 3.163507      2.958531      3.366114
## 11    11 4.052835      3.843148      4.247423
## 12    12 4.538177      4.334975      4.735222
## 13    13 4.243455      4.031414      4.446335
## 14    14 3.545226      3.327889      3.747487
## 15    15 3.947761      3.730100      4.161692

Average Ratings for the 5-Item Scale

scaleItems = c("enjoyable","likable","pleasing","nice","appealing")
df5 <- calculateDrawResponseCIs(scaleItems)

##    image     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1      1 3.978261      3.746739      4.205435 0.2271739 0.2315217         0
## 2      2 5.296907      5.145361      5.431959 0.1350515 0.1515464         1
## 3      3 5.234146      5.055272      5.390851 0.1567048 0.1788743         2
## 4      4 4.746392      4.547423      4.938144 0.1917526 0.1989691         3
## 5      5 3.669811      3.471698      3.866981 0.1971698 0.1981132         4
## 6      6 4.590826      4.411510      4.766055 0.1752294 0.1793159         5
## 7      7 3.488889      3.260317      3.729101 0.2402116 0.2285714         6
## 8      8 3.504663      3.289119      3.719171 0.2145078 0.2155440         7
## 9      9 2.574157      2.401124      2.775469 0.2013117 0.1730337         8
## 10    10 3.194313      2.988626      3.395261 0.2009479 0.2056872         9
## 11    11 4.018557      3.809775      4.215464 0.1969072 0.2087821        10
## 12    12 4.527094      4.321182      4.721182 0.1940887 0.2059113        11
## 13    13 4.229319      4.015707      4.431414 0.2020942 0.2136126        12
## 14    14 3.539698      3.323618      3.744724 0.2050251 0.2160804        13
## 15    15 3.943284      3.726725      4.158209 0.2149254 0.2165589        14

##    image     mean lowerBound_CI upperBound_CI
## 1      1 3.978261      3.746739      4.205435
## 2      2 5.296907      5.145361      5.431959
## 3      3 5.234146      5.055272      5.390851
## 4      4 4.746392      4.547423      4.938144
## 5      5 3.669811      3.471698      3.866981
## 6      6 4.590826      4.411510      4.766055
## 7      7 3.488889      3.260317      3.729101
## 8      8 3.504663      3.289119      3.719171
## 9      9 2.574157      2.401124      2.775469
## 10    10 3.194313      2.988626      3.395261
## 11    11 4.018557      3.809775      4.215464
## 12    12 4.527094      4.321182      4.721182
## 13    13 4.229319      4.015707      4.431414
## 14    14 3.539698      3.323618      3.744724
## 15    15 3.943284      3.726725      4.158209

dfs <- list(df3,df4,df5,df31)
generatePerImageTables(list(df3,df4,df5,df31),c("3-Item","4-Item","5-Item","31-Item"))

##     scale     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1  3-Item 3.951087      3.715580      4.181159 0.2300725 0.2355072         0
## 2  4-Item 3.970109      3.737772      4.199728 0.2296196 0.2323370         1
## 3  5-Item 3.978261      3.746739      4.205435 0.2271739 0.2315217         2
## 4 31-Item 3.974755      3.796985      4.153331 0.1785762 0.1777700         3

## [1] "./results/Image 1  Ratings Per Scale.pdf"

##     scale     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1  3-Item 5.249141      5.094502      5.388316 0.1391753 0.1546392         0
## 2  4-Item 5.302835      5.150773      5.436856 0.1340206 0.1520619         1
## 3  5-Item 5.296907      5.145361      5.431959 0.1350515 0.1515464         2
## 4 31-Item 4.920186      4.796959      5.033283 0.1130972 0.1232275         3

## [1] "./results/Image 2  Ratings Per Scale.pdf"

##     scale     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1  3-Item 5.243902      5.047154      5.404878 0.1609756 0.1967480         0
## 2  4-Item 5.237805      5.051220      5.393902 0.1560976 0.1865854         1
## 3  5-Item 5.234146      5.055272      5.390851 0.1567048 0.1788743         2
## 4 31-Item 4.977655      4.829053      5.104957 0.1273013 0.1486024         3

## [1] "./results/Image 3  Ratings Per Scale.pdf"

##     scale     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1  3-Item 4.731959      4.524308      4.927835 0.1958763 0.2076504         0
## 2  4-Item 4.731959      4.530928      4.923969 0.1920103 0.2010309         1
## 3  5-Item 4.746392      4.547423      4.938144 0.1917526 0.1989691         2
## 4 31-Item 4.640505      4.477054      4.794313 0.1538078 0.1634519         3

## [1] "./results/Image 4  Ratings Per Scale.pdf"

##     scale     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1  3-Item 3.597484      3.394654      3.798742 0.2012579 0.2028302         0
## 2  4-Item 3.666274      3.465802      3.866745 0.2004717 0.2004717         1
## 3  5-Item 3.669811      3.471698      3.866981 0.1971698 0.1981132         2
## 4 31-Item 3.598448      3.432593      3.765694 0.1672456 0.1658551         3

## [1] "./results/Image 5  Ratings Per Scale.pdf"

##     scale     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1  3-Item 4.579511      4.394495      4.755352 0.1758410 0.1850153         0
## 2  4-Item 4.592890      4.411697      4.770642 0.1777523 0.1811927         1
## 3  5-Item 4.590826      4.411510      4.766055 0.1752294 0.1793159         2
## 4 31-Item 4.359130      4.216120      4.508112 0.1489823 0.1430101         3

## [1] "./results/Image 6  Ratings Per Scale.pdf"

##     scale     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1  3-Item 3.474427      3.239859      3.717813 0.2433862 0.2345679         0
## 2  4-Item 3.513228      3.281746      3.748677 0.2354497 0.2314815         1
## 3  5-Item 3.488889      3.260317      3.729101 0.2402116 0.2285714         2
## 4 31-Item 3.611879      3.429459      3.799131 0.1872515 0.1824202         3

## [1] "./results/Image 7  Ratings Per Scale.pdf"

##     scale     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1  3-Item 3.492228      3.269430      3.708026 0.2157977 0.2227979         0
## 2  4-Item 3.531088      3.309585      3.746114 0.2150259 0.2215026         1
## 3  5-Item 3.504663      3.289119      3.719171 0.2145078 0.2155440         2
## 4 31-Item 3.338125      3.166305      3.504257 0.1661321 0.1718202         3

## [1] "./results/Image 8  Ratings Per Scale.pdf"

##     scale     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1  3-Item 2.500000      2.323037      2.696629 0.1966292 0.1769628         0
## 2  4-Item 2.546348      2.375000      2.744382 0.1980337 0.1713483         1
## 3  5-Item 2.574157      2.401124      2.775469 0.2013117 0.1730337         2
## 4 31-Item 2.784523      2.637046      2.949720 0.1651967 0.1474777         3

## [1] "./results/Image 9  Ratings Per Scale.pdf"

##     scale     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1  3-Item 3.159558      2.947867      3.370284 0.2107262 0.2116904         0
## 2  4-Item 3.163507      2.958531      3.366114 0.2026066 0.2049763         1
## 3  5-Item 3.194313      2.988626      3.395261 0.2009479 0.2056872         2
## 4 31-Item 3.292157      3.118713      3.459972 0.1678152 0.1734440         3

## [1] "./results/Image 10  Ratings Per Scale.pdf"

##     scale     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1  3-Item 4.013746      3.805842      4.216495 0.2027491 0.2079038         0
## 2  4-Item 4.052835      3.843148      4.247423 0.1945876 0.2096872         1
## 3  5-Item 4.018557      3.809775      4.215464 0.1969072 0.2087821         2
## 4 31-Item 3.950283      3.778517      4.117025 0.1667422 0.1717659         3

## [1] "./results/Image 11  Ratings Per Scale.pdf"

##     scale     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1  3-Item 4.495895      4.285714      4.697199 0.2013046 0.2101806         0
## 2  4-Item 4.538177      4.334975      4.735222 0.1970443 0.2032020         1
## 3  5-Item 4.527094      4.321182      4.721182 0.1940887 0.2059113         2
## 4 31-Item 4.329414      4.162565      4.492664 0.1632502 0.1668484         3

## [1] "./results/Image 12  Ratings Per Scale.pdf"

##     scale     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1  3-Item 4.228621      4.012216      4.432810 0.2041885 0.2164049         0
## 2  4-Item 4.243455      4.031414      4.446335 0.2028796 0.2120419         1
## 3  5-Item 4.229319      4.015707      4.431414 0.2020942 0.2136126         2
## 4 31-Item 4.141023      3.968008      4.310758 0.1697348 0.1730153         3

## [1] "./results/Image 13  Ratings Per Scale.pdf"

##     scale     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1  3-Item 3.480737      3.262982      3.686767 0.2060302 0.2177554         0
## 2  4-Item 3.545226      3.327889      3.747487 0.2022613 0.2173367         1
## 3  5-Item 3.539698      3.323618      3.744724 0.2050251 0.2160804         2
## 4 31-Item 3.850057      3.683969      4.008753 0.1586967 0.1660880         3

## [1] "./results/Image 14  Ratings Per Scale.pdf"

##     scale     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1  3-Item 3.925373      3.703151      4.137645 0.2122720 0.2222222         0
## 2  4-Item 3.947761      3.730100      4.161692 0.2139303 0.2176617         1
## 3  5-Item 3.943284      3.726725      4.158209 0.2149254 0.2165589         2
## 4 31-Item 3.913176      3.734968      4.088589 0.1754133 0.1782079         3

## [1] "./results/Image 15  Ratings Per Scale.pdf"

CFA

# import library
library(lavaan) #CFA

## This is lavaan 0.6-12
## lavaan is FREE software! Please report any bugs.

## 
## Attaching package: 'lavaan'

## The following object is masked from 'package:psych':
## 
##     cor2cov

library(ltm) # Cronbach's alpha

## Loading required package: MASS

## 
## Attaching package: 'MASS'

## The following object is masked from 'package:dplyr':
## 
##     select

## Loading required package: msm

## 
## Attaching package: 'msm'

## The following object is masked from 'package:boot':
## 
##     cav

## Loading required package: polycor

## 
## Attaching package: 'polycor'

## The following object is masked from 'package:psych':
## 
##     polyserial

## 
## Attaching package: 'ltm'

## The following object is masked from 'package:psych':
## 
##     factor.scores

# import data
data <- read.csv("04_CFA/validation results + demographics - valid - PID removed.csv" , encoding="UTF-8")
data

##      id          submitdate lastpage startlanguage       seed
## 1     8 2022-03-26 23:56:31        7            en  351477190
## 2     9 2022-03-26 23:57:24        7            en 1410639181
## 3    10 2022-03-26 23:57:23        7            en 2031954271
## 4    11 2022-03-26 23:57:37        7            en  989660323
## 5    12 2022-03-26 23:57:33        7            en 1064436556
## 6    13 2022-03-26 23:59:52        7            en 1223970187
## 7    14 2022-03-27 00:01:01        7            en  713772528
## 8    15 2022-03-26 23:59:17        7            en 1971082747
## 9    18 2022-03-27 00:01:58        7            en  490221524
## 10   19 2022-03-27 00:02:19        7            en 1527133111
## 11   20 2022-03-27 00:04:37        7            en  834559536
## 12   21 2022-03-27 00:03:24        7            en  847752055
## 13   22 2022-03-27 00:01:05        7            en   26174271
## 14   23 2022-03-27 00:03:45        7            en 1283381430
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## 16   25 2022-03-27 00:01:59        7            en  239810451
## 17   26 2022-03-27 00:02:42        7            en  270646464
## 18   27 2022-03-27 00:02:30        7            en  212207794
## 19   28 2022-03-27 00:02:52        7            en  626853214
## 20   29 2022-03-27 00:06:20        7            en  668469237
## 21   30 2022-03-27 00:03:43        7            en  224276825
## 22   31 2022-03-27 00:02:40        7            en  280008692
## 23   32 2022-03-27 00:02:25        7            en 1727944818
## 24   34 2022-03-27 00:03:30        7            en 1744605935
## 25   35 2022-03-27 00:02:35        7            en 1450041428
## 26   36 2022-03-27 00:02:49        7            en 1175021831
## 27   37 2022-03-27 00:03:16        7            en 1517785190
## 28   38 2022-03-27 00:06:24        7            en 1478589615
## 29   39 2022-03-27 00:03:20        7            en  402771416
## 30   40 2022-03-27 00:04:33        7            en  662759214
## 31   41 2022-03-27 00:02:19        7            en 2131180490
## 32   42 2022-03-27 00:05:25        7            en  160474725
## 33   43 2022-03-27 00:03:27        7            en 1697973398
## 34   44 2022-03-27 00:06:14        7            en  611399631
## 35   45 2022-03-27 00:07:52        7            en  771993943
## 36   46 2022-03-27 00:04:09        7            en 2047119844
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##                                            education.other. IQ001
## 1                                                              NA
## 2                                                              NA
## 3                                                              NA
## 4                                                              NA
## 5                                                              NA
## 6                                                              NA
## 7                                                              NA
## 8                                               high school    NA
## 9                                               High School    NA
## 10                                      High school diploma    NA
## 11                                                             NA
## 12                                                             NA
## 13                                                             NA
## 14                                                             NA
## 15                                                             NA
## 16                                                             NA
## 17                                                             NA
## 18                                              high school    NA
## 19                                                             NA
## 20                                                             NA
## 21                                                             NA
## 22                                     High school graduate    NA
## 23                                                             NA
## 24                                                             NA
## 25                                                             NA
## 26                                                             NA
## 27                                                             NA
## 28                                              high school    NA
## 29                                              High School    NA
## 30                                                             NA
## 31                                                             NA
## 32                                                     none    NA
## 33                                                             NA
## 34                                                             NA
## 35                                          Don't have one.    NA
## 36                                                             NA
## 37                                                             NA
## 38                                                             NA
## 39                                                             NA
## 40                                                             NA
## 41                                                             NA
## 42                                               HighSchool    NA
## 43                                                             NA
## 44                                                             NA
## 45                                                             NA
## 46                                                             NA
## 47                                              high school    NA
## 48                                              high school    NA
## 49                                                             NA
## 50                                                             NA
## 51                                                             NA
## 52                                                             NA
## 53                                      High School Diploma    NA
## 54                                                             NA
## 55                                                             NA
## 56                                                             NA
## 57                                                             NA
## 58                                                             NA
## 59                                                             NA
## 60                                                   matric    NA
## 61                                                             NA
## 62                                                             NA
## 63                                  6th semester of college    NA
## 64                                                             NA
## 65                                                             NA
## 66                                              High school    NA
## 67                                       No academic degree    NA
## 68                                              High School    NA
## 69                                                             NA
## 70                                                             NA
## 71                                               Highschool    NA
## 72                                                             NA
## 73                                      High School Diploma    NA
## 74                                                             NA
## 75                                                             NA
## 76                                                             NA
## 77                                               Highschool    NA
## 78                                                             NA
## 79                                                             NA
## 80                                                             NA
## 81                                                             NA
## 82                                                             NA
## 83                                                             NA
## 84                                              High School    NA
## 85                                                             NA
## 86                                                             NA
## 87                                                             NA
## 88                                                             NA
## 89                                                             NA
## 90                                                             NA
## 91                                                             NA
## 92                                   second year of college    NA
## 93                                   I'm currently studying    NA
## 94                                                             NA
## 95                                                             NA
## 96                             Some college, still studying    NA
## 97                                                             NA
## 98                                                             NA
## 99                                                     GCSE    NA
## 100                                     High School Diploma    NA
## 101                                                            NA
## 102                                     high school diploma    NA
## 103                                                            NA
## 104                                                            NA
## 105                                                            NA
## 106                                             High school    NA
## 107                                                            NA
## 108                                                            NA
## 109                                                            NA
## 110                                             High school    NA
## 111                                                            NA
## 112                                                            NA
## 113                                                            NA
## 114                                                            NA
## 115                                                            NA
## 116                                                            NA
## 117                                             High School    NA
## 118                               I'm finishing my bachelor    NA
## 119                                                            NA
## 120                                                            NA
## 121                                                            NA
## 122                                                            NA
## 123                                                            NA
## 124                                                            NA
## 125                                                            NA
## 126                                                            NA
## 127                                                            NA
## 128                                                            NA
## 129                                                            NA
## 130                                                            NA
## 131                                                            NA
## 132                                                            NA
## 133                                                            NA
## 134                                             High School    NA
## 135                                                            NA
## 136                                                            NA
## 137                                                            NA
## 138                                                    None    NA
## 139                                                            NA
## 140                                                            NA
## 141                                                            NA
## 142                                                            NA
## 143                                                            NA
## 144                                                            NA
## 145                                                            NA
## 146           studying for BA, but have not received it yet    NA
## 147                                                            NA
## 148                                                            NA
## 149                                                            NA
## 150                                                            NA
## 151                                                            NA
## 152                                                            NA
## 153                                                            NA
## 154                                                            NA
## 155                                                            NA
## 156                                                            NA
## 157                                                none yet    NA
## 158                                                            NA
## 159                                                            NA
## 160                                                            NA
## 161                                                            NA
## 162                                                            NA
## 163                                                            NA
## 164                                                            NA
## 165                                                            NA
## 166                                                            NA
## 167                                     High School Diploma    NA
## 168                                                            NA
## 169                                                            NA
## 170                                                            NA
## 171                                                            NA
## 172                                                            NA
## 173                                                            NA
## 174                                                            NA
## 175                                                            NA
## 176                                                            NA
## 177                                                            NA
## 178                                                 college    NA
## 179                                                            NA
## 180                                                            NA
## 181                                                            NA
## 182                                                            NA
## 183 Highschool Diploma ( currently Undergrad in University)    NA
## 184                                                            NA
## 185                                     High school diploma    NA
## 186                                                            NA
## 187                                     High School Diploma    NA
## 188                                                            NA
## 189                                                            NA
## 190                                                            NA
## 191                                                            NA
## 192                                                            NA
## 193                                                            NA
## 194                                     High school diploma    NA
## 195                                                            NA
## 196                                             High school    NA
## 197                                                            NA
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## 125                   6                   6                  6               6
## 126                   3                   6                  5               1
## 127                   5                   5                  5               3
## 128                   2                   4                  2               3
## 129                   4                   5                  5               4
## 130                   4                   5                  4               5
## 131                   7                   7                  7               7
## 132                   7                   6                  7               6
## 133                   2                   2                  2               4
## 134                   6                   6                  6               5
## 135                   6                   6                  6               5
## 136                   5                   5                  5               6
## 137                   5                   3                  3               4
## 138                   5                   7                  5               6
## 139                   5                   5                  5               5
## 140                   2                   3                  2               2
## 141                   5                   4                  4               5
## 142                   4                   4                  4               2
## 143                   6                   6                  6               5
## 144                   4                   3                  4               2
## 145                   5                   5                  6               2
## 146                   4                   4                  4               5
## 147                   4                   5                  4               4
## 148                   6                   5                  5               5
## 149                   1                   3                  3               7
## 150                   4                   1                  4               6
## 151                   4                   3                  3               4
## 152                   4                   5                  4               3
## 153                   7                   7                  7               4
## 154                   7                   6                  7               7
## 155                   2                   2                  2               4
## 156                   2                   2                  4               4
## 157                   2                   2                  4               1
## 158                   5                   5                  6               6
## 159                   4                   5                  6               5
## 160                   3                   4                  4               5
## 161                   7                   6                  7               6
## 162                   2                   1                  1               1
## 163                   6                   6                  5               6
## 164                   6                   7                  6               7
## 165                   5                   5                  5               5
## 166                   6                   6                  5               4
## 167                   4                   5                  4               6
## 168                   3                   2                  2               3
## 169                   1                   1                  1               1
## 170                   3                   3                  3               4
## 171                   3                   4                  3               3
## 172                   3                   3                  3               3
## 173                   6                   6                  5               6
## 174                   5                   6                  5               4
## 175                   5                   7                  3               5
## 176                   1                   1                  1               1
## 177                   6                   5                  5               5
## 178                   2                   5                  3               3
## 179                   3                   5                  5               5
## 180                   1                   2                  2               1
## 181                   5                   5                  5               5
## 182                   2                   4                  3               5
## 183                   5                   6                  6               1
## 184                   4                   5                  5               5
## 185                   5                   6                  5               6
## 186                   6                   4                  6               7
## 187                   6                   5                  5               3
## 188                   5                   6                  6               7
## 189                   5                   5                  5               3
## 190                   3                   4                  2               3
## 191                   5                   6                  5               6
## 192                   5                   6                  6               5
## 193                   4                   3                  3               5
## 194                   5                   4                  6               4
## 195                   2                   4                  2               5
## 196                   3                   3                  3               3
## 197                   6                   5                  4               6
##     sunburst.clean. sunburst.symmetric. beamtree.enjoyable. beamtree.likable.
## 1                 6                   3                   3                 3
## 2                 3                   4                   1                 1
## 3                 3                   2                   6                 6
## 4                 6                   2                   2                 2
## 5                 2                   2                   5                 6
## 6                 6                   5                   2                 4
## 7                 2                   4                   5                 4
## 8                 5                   2                   1                 4
## 9                 5                   5                   2                 1
## 10                6                   7                   2                 3
## 11                5                   4                   4                 4
## 12                7                   7                   7                 7
## 13                5                   3                   2                 2
## 14                5                   2                   2                 2
## 15                6                   2                   3                 3
## 16                6                   2                   3                 4
## 17                6                   1                   1                 1
## 18                5                   6                   1                 1
## 19                6                   4                   2                 2
## 20                4                   1                   3                 4
## 21                4                   1                   2                 3
## 22                2                   2                   1                 1
## 23                5                   7                   4                 3
## 24                5                   6                   1                 1
## 25                4                   1                   2                 2
## 26                5                   4                   5                 5
## 27                3                   3                   3                 3
## 28                3                   4                   4                 2
## 29                6                   6                   5                 5
## 30                5                   3                   1                 1
## 31                3                   3                   1                 1
## 32                3                   2                   2                 2
## 33                4                   6                   1                 1
## 34                5                   1                   4                 4
## 35                7                   5                   2                 3
## 36                4                   2                   1                 2
## 37                5                   1                   3                 4
## 38                2                   1                   6                 6
## 39                5                   6                   6                 6
## 40                3                   5                   2                 3
## 41                3                   2                   5                 4
## 42                5                   5                   1                 1
## 43                3                   1                   6                 4
## 44                3                   3                   2                 3
## 45                6                   1                   3                 4
## 46                6                   6                   1                 1
## 47                5                   3                   1                 1
## 48                6                   7                   3                 3
## 49                6                   4                   4                 5
## 50                6                   4                   2                 2
## 51                7                   7                   3                 4
## 52                6                   6                   2                 3
## 53                2                   3                   1                 1
## 54                2                   5                   3                 3
## 55                5                   6                   2                 3
## 56                6                   6                   4                 4
## 57                6                   2                   2                 2
## 58                6                   3                   1                 1
## 59                6                   6                   2                 2
## 60                5                   4                   1                 1
## 61                5                   4                   5                 4
## 62                7                   6                   4                 5
## 63                7                   7                   4                 3
## 64                5                   5                   3                 2
## 65                7                   7                   1                 1
## 66                3                   1                   4                 2
## 67                3                   5                   2                 2
## 68                6                   4                   5                 5
## 69                6                   1                   1                 3
## 70                5                   4                   6                 5
## 71                1                   4                   1                 2
## 72                3                   3                   5                 5
## 73                4                   2                   5                 4
## 74                6                   6                   4                 5
## 75                5                   3                   4                 2
## 76                4                   1                   4                 5
## 77                4                   1                   3                 3
## 78                6                   7                   5                 6
## 79                5                   6                   2                 2
## 80                5                   6                   6                 6
## 81                1                   1                   1                 3
## 82                4                   5                   5                 5
## 83                6                   1                   6                 6
## 84                3                   2                   1                 1
## 85                6                   6                   2                 2
## 86                3                   4                   2                 3
## 87                5                   2                   1                 1
## 88                5                   4                   2                 3
## 89                7                   6                   5                 1
## 90                5                   1                   4                 4
## 91                5                   5                   4                 5
## 92                5                   6                   5                 5
## 93                6                   3                   2                 2
## 94                6                   5                   4                 4
## 95                6                   2                   4                 2
## 96                4                   4                   1                 1
## 97                7                   5                   6                 6
## 98                4                   1                   3                 4
## 99                4                   1                   3                 3
## 100               2                   1                   1                 1
## 101               6                   6                   3                 6
## 102               5                   5                   2                 2
## 103               5                   6                   5                 5
## 104               6                   6                   1                 1
## 105               6                   2                   1                 1
## 106               7                   7                   4                 3
## 107               1                   2                   1                 2
## 108               2                   6                   6                 6
## 109               4                   6                   5                 6
## 110               5                   6                   3                 3
## 111               2                   2                   1                 1
## 112               6                   2                   2                 2
## 113               2                   2                   1                 1
## 114               2                   1                   6                 6
## 115               6                   3                   5                 4
## 116               2                   4                   1                 1
## 117               6                   6                   1                 1
## 118               6                   2                   1                 1
## 119               6                   1                   2                 4
## 120               6                   2                   4                 3
## 121               2                   2                   2                 2
## 122               5                   3                   4                 4
## 123               3                   4                   2                 2
## 124               3                   2                   3                 5
## 125               5                   2                   2                 4
## 126               4                   2                   3                 5
## 127               4                   3                   2                 2
## 128               3                   2                   5                 6
## 129               5                   5                   3                 2
## 130               5                   6                   5                 4
## 131               7                   7                   4                 2
## 132               7                   4                   4                 2
## 133               3                   6                   2                 3
## 134               6                   6                   2                 3
## 135               6                   6                   3                 3
## 136               6                   6                   2                 3
## 137               5                   5                   7                 4
## 138               5                   7                   1                 1
## 139               5                   3                   5                 3
## 140               3                   3                   6                 5
## 141               4                   3                   3                 3
## 142               5                   5                   3                 3
## 143               7                   3                   2                 2
## 144               4                   2                   4                 5
## 145               6                   4                   3                 3
## 146               5                   4                   3                 2
## 147               4                   6                   4                 4
## 148               6                   6                   3                 3
## 149               1                   1                   4                 4
## 150               7                   5                   1                 1
## 151               3                   3                   3                 2
## 152               3                   2                   2                 3
## 153               7                   7                   1                 4
## 154               7                   5                   4                 4
## 155               6                   3                   3                 3
## 156               5                   4                   1                 1
## 157               2                   2                   3                 3
## 158               5                   5                   1                 2
## 159               5                   3                   3                 4
## 160               5                   4                   3                 5
## 161               7                   6                   6                 7
## 162               1                   1                   4                 4
## 163               6                   6                   1                 1
## 164               7                   4                   4                 2
## 165               4                   3                   2                 2
## 166               6                   6                   6                 4
## 167               4                   1                   4                 4
## 168               3                   3                   2                 2
## 169               1                   6                   1                 1
## 170               4                   5                   3                 3
## 171               4                   4                   4                 3
## 172               3                   3                   3                 3
## 173               5                   6                   2                 5
## 174               5                   5                   3                 3
## 175               6                   5                   7                 5
## 176               1                   1                   1                 1
## 177               5                   6                   5                 3
## 178               2                   2                   5                 4
## 179               4                   4                   3                 4
## 180               2                   2                   1                 1
## 181               5                   3                   3                 3
## 182               5                   3                   2                 2
## 183               5                   7                   7                 4
## 184               5                   4                   4                 3
## 185               6                   5                   3                 2
## 186               7                   6                   7                 5
## 187               5                   5                   5                 5
## 188               5                   6                   3                 3
## 189               5                   6                   2                 2
## 190               5                   3                   2                 2
## 191               5                   6                   3                 5
## 192               6                   4                   3                 3
## 193               5                   2                   1                 3
## 194               3                   2                   2                 4
## 195               2                   4                   1                 1
## 196               4                   5                   1                 1
## 197               5                   6                   7                 5
##     beamtree.pleasing. beamtree.nice. beamtree.appealing. beamtree.aesthetic.
## 1                    3              3                   3                   3
## 2                    1              1                   2                   1
## 3                    6              6                   6                   6
## 4                    2              2                   2                   1
## 5                    3              3                   4                   6
## 6                    3              2                   3                   4
## 7                    3              6                   4                   5
## 8                    2              2                   1                   1
## 9                    1              2                   2                   2
## 10                   2              3                   2                   2
## 11                   4              4                   4                   4
## 12                   7              7                   5                   6
## 13                   3              2                   2                   2
## 14                   2              2                   2                   2
## 15                   3              5                   3                   3
## 16                   2              2                   4                   2
## 17                   1              1                   1                   1
## 18                   1              1                   1                   1
## 19                   1              2                   2                   4
## 20                   5              5                   6                   3
## 21                   2              3                   2                   2
## 22                   1              1                   1                   1
## 23                   2              3                   1                   1
## 24                   1              1                   1                   1
## 25                   2              3                   2                   2
## 26                   4              5                   5                   4
## 27                   3              2                   3                   2
## 28                   1              3                   2                   3
## 29                   5              5                   5                   5
## 30                   1              1                   1                   1
## 31                   1              1                   1                   1
## 32                   1              3                   2                   5
## 33                   1              1                   1                   1
## 34                   5              3                   5                   6
## 35                   2              2                   2                   1
## 36                   1              2                   2                   3
## 37                   3              3                   3                   5
## 38                   6              4                   6                   6
## 39                   6              6                   4                   5
## 40                   5              3                   3                   1
## 41                   3              3                   3                   3
## 42                   1              1                   1                   1
## 43                   3              5                   5                   4
## 44                   2              3                   3                   2
## 45                   1              3                   1                   2
## 46                   1              1                   1                   1
## 47                   1              1                   1                   1
## 48                   3              2                   2                   4
## 49                   5              5                   5                   4
## 50                   2              2                   1                   2
## 51                   2              5                   3                   6
## 52                   1              2                   2                   2
## 53                   1              1                   1                   1
## 54                   4              5                   3                   5
## 55                   2              2                   3                   3
## 56                   4              5                   5                   4
## 57                   1              1                   1                   1
## 58                   1              1                   2                   2
## 59                   2              2                   2                   2
## 60                   2              2                   1                   1
## 61                   4              5                   4                   3
## 62                   5              4                   4                   3
## 63                   5              5                   2                   4
## 64                   3              4                   4                   2
## 65                   1              1                   1                   1
## 66                   3              3                   5                   6
## 67                   1              3                   1                   1
## 68                   5              5                   4                   4
## 69                   2              1                   2                   3
## 70                   4              5                   5                   5
## 71                   1              2                   1                   1
## 72                   5              5                   5                   5
## 73                   5              4                   5                   3
## 74                   3              5                   5                   4
## 75                   2              3                   3                   3
## 76                   4              5                   4                   5
## 77                   3              5                   3                   5
## 78                   5              6                   4                   6
## 79                   2              3                   3                   1
## 80                   4              5                   4                   6
## 81                   2              2                   1                   5
## 82                   5              4                   4                   4
## 83                   5              6                   5                   6
## 84                   1              1                   1                   1
## 85                   2              3                   2                   3
## 86                   3              3                   3                   2
## 87                   1              1                   1                   5
## 88                   2              3                   3                   4
## 89                   1              4                   4                   4
## 90                   5              4                   5                   4
## 91                   5              5                   4                   4
## 92                   4              5                   3                   3
## 93                   2              5                   2                   2
## 94                   4              3                   3                   3
## 95                   3              3                   2                   1
## 96                   1              1                   1                   1
## 97                   7              6                   6                   6
## 98                   3              2                   4                   3
## 99                   2              2                   4                   4
## 100                  1              1                   1                   1
## 101                  4              6                   3                   2
## 102                  2              2                   1                   2
## 103                  3              5                   4                   6
## 104                  1              1                   1                   1
## 105                  1              3                   1                   1
## 106                  3              3                   2                   3
## 107                  3              2                   2                   1
## 108                  6              6                   5                   4
## 109                  4              3                   5                   5
## 110                  3              4                   3                   3
## 111                  1              2                   1                   2
## 112                  2              3                   1                   1
## 113                  1              1                   1                   1
## 114                  6              6                   6                   7
## 115                  5              5                   5                   7
## 116                  1              1                   1                   1
## 117                  1              2                   2                   3
## 118                  1              1                   1                   1
## 119                  1              3                   2                   5
## 120                  3              3                   3                   4
## 121                  3              2                   2                   2
## 122                  4              4                   4                   5
## 123                  2              2                   1                   3
## 124                  3              4                   6                   4
## 125                  5              2                   2                   2
## 126                  5              4                   5                   3
## 127                  2              2                   2                   2
## 128                  6              6                   6                   6
## 129                  2              2                   2                   2
## 130                  3              4                   5                   5
## 131                  2              5                   4                   2
## 132                  3              3                   5                   3
## 133                  4              3                   1                   3
## 134                  2              2                   2                   2
## 135                  3              4                   3                   3
## 136                  3              3                   2                   5
## 137                  5              6                   7                   3
## 138                  1              1                   1                   1
## 139                  4              4                   4                   5
## 140                  4              4                   5                   5
## 141                  3              2                   2                   2
## 142                  3              3                   3                   3
## 143                  3              3                   2                   2
## 144                  4              7                   6                   6
## 145                  3              4                   3                   3
## 146                  2              2                   2                   4
## 147                  4              4                   4                   5
## 148                  3              3                   3                   6
## 149                  1              4                   2                   2
## 150                  1              1                   1                   1
## 151                  3              3                   3                   2
## 152                  2              2                   1                   3
## 153                  3              7                   1                   4
## 154                  4              4                   5                   3
## 155                  2              4                   2                   2
## 156                  2              1                   1                   1
## 157                  2              2                   2                   1
## 158                  2              2                   1                   2
## 159                  3              3                   2                   3
## 160                  3              4                   3                   4
## 161                  6              7                   6                   7
## 162                  4              4                   3                   3
## 163                  2              1                   2                   1
## 164                  4              4                   3                   5
## 165                  2              2                   2                   1
## 166                  4              6                   6                   6
## 167                  4              4                   4                   4
## 168                  1              2                   1                   1
## 169                  1              1                   1                   4
## 170                  3              3                   3                   3
## 171                  2              3                   3                   2
## 172                  3              3                   3                   3
## 173                  4              4                   4                   5
## 174                  3              3                   3                   3
## 175                  7              7                   6                   6
## 176                  1              1                   1                   1
## 177                  5              5                   5                   4
## 178                  4              4                   6                   3
## 179                  3              3                   3                   3
## 180                  1              1                   1                   1
## 181                  3              4                   3                   4
## 182                  2              3                   2                   2
## 183                  7              7                   5                   7
## 184                  4              4                   3                   5
## 185                  3              3                   2                   5
## 186                  6              7                   6                   7
## 187                  2              5                   2                   5
## 188                  3              4                   3                   4
## 189                  2              2                   2                   2
## 190                  2              2                   2                   2
## 191                  3              2                   5                   5
## 192                  4              3                   3                   4
## 193                  4              2                   4                   1
## 194                  2              3                   4                   6
## 195                  1              1                   1                   1
## 196                  1              1                   1                   1
## 197                  5              6                   5                   6
##     beamtree.pleasant. beamtree.clear. beamtree.clean. beamtree.symmetric.
## 1                    3               3               3                   3
## 2                    1               1               1                   1
## 3                    6               6               6                   6
## 4                    2               2               3                   1
## 5                    2               6               1                   2
## 6                    3               2               3                   4
## 7                    3               2               6                   5
## 8                    2               5               5                   3
## 9                    1               1               3                   4
## 10                   3               4               2                   2
## 11                   4               4               5                   5
## 12                   7               7               6                   6
## 13                   2               2               2                   2
## 14                   2               2               5                   2
## 15                   3               3               6                   3
## 16                   2               2               2                   5
## 17                   2               1               1                   1
## 18                   1               1               1                   6
## 19                   1               2               1                   3
## 20                   3               3               5                   1
## 21                   3               2               2                   1
## 22                   1               1               1                   1
## 23                   1               2               3                   1
## 24                   1               1               1                   1
## 25                   2               2               3                   1
## 26                   5               5               3                   3
## 27                   3               2               2                   1
## 28                   2               1               2                   1
## 29                   5               5               5                   5
## 30                   1               1               1                   1
## 31                   1               1               1                   1
## 32                   1               1               1                   1
## 33                   1               1               1                   1
## 34                   4               2               3                   1
## 35                   2               3               3                   2
## 36                   2               4               3                   2
## 37                   3               2               2                   1
## 38                   6               3               6                   2
## 39                   5               6               5                   6
## 40                   2               1               3                   1
## 41                   3               3               3                   3
## 42                   1               1               1                   7
## 43                   5               1               5                   2
## 44                   3               2               2                   2
## 45                   1               1               7                   1
## 46                   1               1               1                   2
## 47                   1               1               1                   1
## 48                   3               2               3                   2
## 49                   4               5               5                   5
## 50                   2               2               2                   1
## 51                   4               5               5                   5
## 52                   2               1               3                   6
## 53                   1               1               1                   1
## 54                   4               6               6                   1
## 55                   3               1               3                   1
## 56                   4               3               5                   3
## 57                   1               1               1                   1
## 58                   1               1               2                   2
## 59                   1               1               2                   4
## 60                   2               4               1                   1
## 61                   5               4               5                   2
## 62                   5               2               2                   5
## 63                   4               6               6                   7
## 64                   3               4               5                   5
## 65                   1               1               1                   1
## 66                   2               4               1                   1
## 67                   2               2               1                   2
## 68                   5               2               4                   2
## 69                   2               3               3                   2
## 70                   4               4               5                   4
## 71                   1               1               1                   3
## 72                   5               4               5                   6
## 73                   5               4               4                   2
## 74                   5               2               2                   2
## 75                   1               1               4                   3
## 76                   4               2               5                   1
## 77                   3               4               3                   1
## 78                   5               2               1                   5
## 79                   2               2               2                   6
## 80                   4               2               3                   3
## 81                   2               5               4                   4
## 82                   5               3               5                   3
## 83                   5               6               6                   1
## 84                   1               1               1                   1
## 85                   2               1               1                   1
## 86                   3               3               3                   3
## 87                   1               1               1                   1
## 88                   2               1               5                   3
## 89                   4               6               2                   3
## 90                   5               2               5                   1
## 91                   4               5               5                   6
## 92                   4               5               5                   5
## 93                   2               4               5                   3
## 94                   4               3               3                   5
## 95                   1               3               5                   1
## 96                   1               1               1                   1
## 97                   6               2               5                   7
## 98                   4               3               4                   2
## 99                   2               1               4                   1
## 100                  1               1               1                   1
## 101                  2               6               7                   6
## 102                  2               2               2                   4
## 103                  5               2               2                   6
## 104                  1               1               1                   2
## 105                  1               4               5                   2
## 106                  3               1               5                   6
## 107                  2               2               1                   2
## 108                  6               3               4                   2
## 109                  4               2               3                   3
## 110                  4               1               4                   3
## 111                  1               1               1                   3
## 112                  1               1               2                   1
## 113                  1               1               1                   1
## 114                  6               6               5                   5
## 115                  5               6               6                   4
## 116                  1               1               1                   1
## 117                  1               1               2                   2
## 118                  1               1               1                   1
## 119                  3               1               1                   1
## 120                  3               3               3                   2
## 121                  2               3               2                   3
## 122                  4               5               5                   5
## 123                  2               1               1                   2
## 124                  4               3               4                   4
## 125                  5               2               2                   1
## 126                  5               3               3                   4
## 127                  2               1               2                   2
## 128                  6               6               6                   6
## 129                  3               1               2                   2
## 130                  4               2               1                   1
## 131                  2               6               4                   6
## 132                  2               2               6                   4
## 133                  2               2               3                   7
## 134                  2               3               3                   1
## 135                  3               2               3                   2
## 136                  3               1               4                   2
## 137                  5               5               5                   4
## 138                  1               1               1                   1
## 139                  3               2               2                   3
## 140                  3               1               2                   3
## 141                  2               2               2                   2
## 142                  3               3               3                   3
## 143                  4               2               1                   5
## 144                  4               6               7                   4
## 145                  2               1               4                   5
## 146                  2               4               5                   5
## 147                  4               4               4                   6
## 148                  2               3               3                   2
## 149                  2               3               2                   1
## 150                  1               3               6                   1
## 151                  3               4               3                   2
## 152                  3               2               1                   2
## 153                  3               4               3                   5
## 154                  4               1               3                   1
## 155                  2               3               6                   2
## 156                  1               1               2                   1
## 157                  2               1               1                   1
## 158                  2               1               3                   2
## 159                  3               5               5                   1
## 160                  3               4               5                   4
## 161                  7               7               7                   6
## 162                  3               3               3                   3
## 163                  2               5               1                   5
## 164                  3               2               5                   2
## 165                  2               2               2                   1
## 166                  4               2               6                   5
## 167                  4               6               4                   1
## 168                  1               2               2                   2
## 169                  1               1               5                   5
## 170                  3               2               5                   5
## 171                  3               3               4                   5
## 172                  3               2               3                   3
## 173                  3               1               4                   4
## 174                  3               3               3                   3
## 175                  5               6               6                   7
## 176                  1               1               1                   5
## 177                  5               4               4                   4
## 178                  4               6               4                   3
## 179                  4               4               3                   3
## 180                  1               1               1                   1
## 181                  3               3               4                   3
## 182                  2               4               4                   1
## 183                  6               1               1                   5
## 184                  4               2               4                   3
## 185                  3               2               2                   1
## 186                  5               7               5                   7
## 187                  2               2               2                   2
## 188                  3               3               3                   2
## 189                  2               2               2                   2
## 190                  2               2               2                   4
## 191                  2               3               3                   5
## 192                  3               2               2                   1
## 193                  3               2               2                   2
## 194                  4               2               5                   3
## 195                  1               1               1                   1
## 196                  1               1               2                   1
## 197                  6               7               6                   7
##     startree.enjoyable. startree.likable. startree.pleasing. startree.nice.
## 1                     4                 4                  3              3
## 2                     2                 2                  1              2
## 3                     3                 3                  3              3
## 4                     5                 5                  5              5
## 5                     4                 5                  5              2
## 6                     3                 5                  4              5
## 7                     7                 7                  6              6
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## 121                   1                 1                  1              1
## 122                   5                 4                  4              4
## 123                   2                 2                  2              2
## 124                   4                 4                  7              3
## 125                   4                 5                  5              5
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## 129                   4                 5                  4              4
## 130                   2                 3                  2              3
## 131                   5                 5                  5              6
## 132                   6                 6                  6              6
## 133                   6                 5                  5              6
## 134                   5                 5                  5              5
## 135                   5                 6                  6              5
## 136                   4                 4                  4              5
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## 149                   5                 5                  5              6
## 150                   1                 2                  1              1
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## 152                   6                 5                  7              6
## 153                   4                 5                  4              4
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## 156                   1                 3                  2              3
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## 161                   6                 6                  6              6
## 162                   6                 6                  6              6
## 163                   5                 5                  3              5
## 164                   4                 6                  5              6
## 165                   6                 6                  5              5
## 166                   2                 4                  1              2
## 167                   3                 3                  3              1
## 168                   3                 5                  3              3
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## 171                   2                 3                  4              3
## 172                   3                 3                  3              3
## 173                   4                 4                  5              4
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## 175                   5                 6                  5              6
## 176                   1                 1                  1              1
## 177                   6                 5                  6              6
## 178                   2                 3                  4              4
## 179                   5                 5                  5              4
## 180                   3                 3                  2              2
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## 182                   4                 4                  4              5
## 183                   5                 3                  4              3
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## 186                   2                 2                  2              3
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## 190                   1                 1                  1              1
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## 193                   4                 4                  4              6
## 194                   1                 4                  2              4
## 195                   1                 1                  1              1
## 196                   4                 3                  3              3
## 197                   6                 7                  6              6
##     startree.appealing. startree.aesthetic. startree.pleasant. startree.clear.
## 1                     3                   4                  4               5
## 2                     3                   1                  1               4
## 3                     3                   2                  2               3
## 4                     5                   3                  5               5
## 5                     5                   4                  4               4
## 6                     5                   2                  4               5
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## 8                     1                   3                  2               4
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## 10                    5                   5                  4               5
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## 13                    3                   3                  3               2
## 14                    3                   2                  4               3
## 15                    2                   1                  2               5
## 16                    2                   1                  2               1
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## 18                    2                   2                  3               6
## 19                    4                   5                  5               3
## 20                    6                   7                  7               7
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## 22                    1                   1                  1               1
## 23                    5                   3                  4               7
## 24                    1                   2                  1               1
## 25                    3                   3                  3               6
## 26                    2                   1                  2               2
## 27                    5                   4                  5               5
## 28                    4                   5                  4               3
## 29                    6                   6                  6               6
## 30                    4                   2                  4               4
## 31                    3                   3                  3               3
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## 41                    3                   3                  3               3
## 42                    3                   1                  3               1
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## 130                   2                   2                  4               1
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##     startree.clean. startree.symmetric. startree.agree.
## 1                 3                   5               6
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## 152               6                   3               6
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## 154               3                   1               6
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## 158               4                   3               6
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## 174               6                   4               6
## 175               7                   5               6
## 176               1                   3               6
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## 178               3                   4               6
## 179               5                   5               6
## 180               2                   1               6
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## 182               4                   4               6
## 183               1                   1               6
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## 185               4                   5               6
## 186               2                   1               6
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## 188               5                   2               6
## 189               4                   3               6
## 190               1                   3               6
## 191               1                   1               6
## 192               3                   2               6
## 193               4                   2               6
## 194               1                   1               6
## 195               1                   1               6
## 196               4                   3               6
## 197               5                   6               6
##                                                                                                                                                                                                                                                                                                                           END
## 1                                                                                                                                                                                                                                                                                                                            
## 2                                                                                                                                                                                                                                                                                                                            
## 3                                                                                                                                                                                                                                                                                                                            
## 4                                                                                                                                                                                                                                                                                                                            
## 5                                                                                                                                                                                                                                                                                                                            
## 6                                                                                                                                                                                                                                                                                                                            
## 7                                                                                                                                                                                                                                                                                                                            
## 8                                                                                                                                                                                                                                                                                                                            
## 9                                                                                                                                                                                                                                                                                                                            
## 10                                                                                                                                                                                                                                                                                                                           
## 11                                                                                                                                                                                                                                                                                                                           
## 12                                                                                                                                                                                                                                                                                                                           
## 13                                                                                                                                                                                                                                                                                                                           
## 14                                                                                                                                                                                                                                                                                                                           
## 15                                                                                                                                                                                                                                                                                                                           
## 16                                                                                                                                                                                                                                                                                                                           
## 17                                                                                                                                                                                                                                                                                                                           
## 18                                                                                                                                                                                                                                                                                                                           
## 19                                                                                                                                                                                                                                                                                                                        No.
## 20                                                                                                                                                                                                                                                                                                                           
## 21                                                                                                                                                                                                                                                                                                                           
## 22                                                                                                                                                                                                                                                                                                                           
## 23                                                                                                                                                                                                                                                                                                                           
## 24                                                                                                                                                                                                                                                                                                                           
## 25                                                                                                                                                                                                                                                                                                                           
## 26                                                                                                                                                                                                                                                                                                                           
## 27                                                                                                                                                                                                                                                                                                              None, thanks!
## 28                                                                                                                                                                                                                                                                                                                           
## 29                                                                                                                                                                                                                                                                                                                           
## 30                                                                                                                                                                                                                                                                                                           I don't have any
## 31                                                                                                                                                                                                                                                                                                                           
## 32                                                                                                                                                                                                                                                                                                                           
## 33                                                                                                                                                                                                                                                                                                                           
## 34                                                                                                                                                                                                                                                                                                                           
## 35                                                                                                                                                                                                                                                                                                 I don't have any comments.
## 36                                                                                                                                                                                                                                                                                                                           
## 37                                                                                                                                                                                                                                                                                                                           
## 38                                                                                                                                                                                                                                                                                                                           
## 39                                                                                                                                                                                                                                                                                                                           
## 40                                                                                                                                                                                                                                                                                                                           
## 41                                                                                                                                                                                                                                                                                                                           
## 42                                                                                                                                                                                                                                                                                                                           
## 43                                                                                                                                                                                                                                                                                                                           
## 44  Although the yellow-ish color scheme is overall pleasant I think another colour scheme would make it more aesthetically pleasing, yellow can is a safe colour but it can be boring. I think a nice shade of green or even a blue (but tinted more green or lilac for example) could perhaps be more pleasing to the eye. 
## 45                                                                                                                                                                                                                                                                                                                           
## 46                                                                                                                                                                                                                                                                                                                           
## 47                                                                                                                                                                                                                                                                                                                           
## 48                                                                                                                                                                                                             I think you should add other academic degrees if you're asking about it, not everyone has finished university.
## 49                                                                                                                                                                                                                                                                                                                           
## 50                                                                                                                                                                                                                                                                                                                           
## 51                                                                                                                                                                                                                                                                                                                           
## 52                                                                                                                                                                                                                                                                                                                           
## 53                                                                                                                                                                                                                                                                                                                           
## 54                                                                                                                                                                                                                                                                                                                           
## 55                                                                                                                                                                                                                                                                                                                         No
## 56                                                                                                                                                                                                                                                                                                                           
## 57                                                                                                                                                                                                                                                                                                                           
## 58                                                                                                                                                                                                                                                                                                                           
## 59                                                                                                                                                                                                                                                                                                                           
## 60                                                                                                                                                                                                                                                                                                                           
## 61                                                                                                                                                                                                                                                                                                                           
## 62                                                                                                                                                                                                                                                                                                                           
## 63                                                                                                                                                                                                                                                                                                                           
## 64                                                                                                                                                                                                                                                                                I don't have any comments about this survey
## 65                                                                                                                                                                                                                                                                                                                           
## 66                                                                                                                                                                                                                                                                                                                           
## 67                                                                                                                                                                                                                                                                                                                           
## 68                                                                                                                                                                                                                                                                                                                           
## 69                                                                                                                                                                                                                                                                                                                           
## 70                                                                                                                                                                                                                                                                                                                Nice studie
## 71                                                                                                                                                                                                                                                                                                                           
## 72                                                                                                                                                                                                                                                                                                                           
## 73                                                                                                                                                                                                                                                                                                                           
## 74                                                                                                                                                                                                                                                                                                                           
## 75                                                                                                                                                                                                                                                                                               Thank you for the survey. :)
## 76                                                                                                                                                                                                                                                                                                                           
## 77                                                                                                                                                                                                                                                                                                                           
## 78                                                                                                                                                                                                                                                                                                                           
## 79                                                                                                                                                                                                                                                                                                                           
## 80                                                                                                                                                                                                                                                                                                                           
## 81                                                                                                                                                                                                                                                                                                                           
## 82                                                                                                                                                                                                                                                                                                                           
## 83                                                                                                                                                                                                                                                                                                                           
## 84                                                                                                                                                                                                                                                                                                                           
## 85                                                                                                                                                                                                                                                                                                                           
## 86                                                                                                                                                                                                                                                                                                                           
## 87                                                                                                                                                                                                                                                                                                                           
## 88                                                                                                                                                                                                                                                                                                                           
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## 92                                                                                                                                                                                                                                                                                                                           
## 93                                                                                                                                                                                                                                                                                                                           
## 94                                                                                                                                                                                                                                                                                                                           
## 95                                                                                                                                                                                                                                                                                                                           
## 96                                                                                                                                                                                                                                                                                                                           
## 97                                                                                                                                                                                                                                                                                                                           
## 98                                                                                                                                                                                                                                                                                                                           
## 99                                                                                                                                                                                                                                                                                                                           
## 100                                                                                                                                                                                                                                                                                                                          
## 101                                                                                                                                                                                                                                                                                                                          
## 102                                                                                                                                                                                                                                                                                                                          
## 103                                                                                                                                                                                                                                                                                                                          
## 104                                                                                                                                                                                                                                                                                                                          
## 105                                                                                                                                                                                                                                                                                                                          
## 106                                                                                                                                                                                                                                                                                                                          
## 107                                                                                                                                                                                                                                                                                                                          
## 108                                                                                                                                                                                                                                                                                                                      none
## 109                                                                                                                                                                                                                                                                                                                          
## 110                                                                                                                                                                                                                                                                                                                          
## 111                                                                                                                                                                                                                                                                                                                    thanks
## 112                                                                                                                                                                                                                                                                                                                          
## 113                                                                                                                                                                                                                                                                                    Thank you for letting me participate\n
## 114                                                                                                                                                                                                                                                                                                                          
## 115                                                                                                                                                                                                                                                                                                       I have no comments.
## 116                                                                                                                                                                                                                                                                                                                          
## 117                                                                                                                                                                                                                                                                                                                          
## 118                                                                                                                                                                                                                                                                                                                          
## 119                                                                                                                                                                                                                                                                                                                          
## 120                                                                                                                                                                                                                                                                                                                          
## 121                                                                                                                                                                                                                                                                                                                          
## 122                                                                                                                                                                                                                                                                                                                          
## 123                                                                                                                                                                                                                                                                                                                          
## 124                                                                                                                                                                                                                                                                                                                          
## 125                                                                                                                                                                                                                                                                                                                          
## 126                                                                                                                                                                                                                                                                                                                          
## 127                                                                                                                                                                                                                                                                                                               No comments
## 128                                                                                                                                                                                                                                                                                                                          
## 129                                                                                                                                                                                                                                                                                                                          
## 130                                                                                                                                                                                                                                                                                                                          
## 131                                                                                                                                                                                                                                                                                                                          
## 132                                                                                                                                                                                                                                                                                                                 All good.
## 133                                                                                                                                                                                                                                                                                                                          
## 134                                                                                                                                                                                                                                                                                                                          
## 135                                                                                                                                                                                                                                                                                                                          
## 136                                                                                                                                                                                                                                                                                                                          
## 137                                                                                                                                                                                                                                                                                                                          
## 138                                                                                                                                                                                                                                                                                                                          
## 139                                                                                                                                                                                                                                                                                                                          
## 140                                                                                                                                                                                                                                                                                                                          
## 141                                                                                                                                                                                                                                                                                                                          
## 142                                                                                                                                                                                                                                                                                                                          
## 143                                                                                                                                                                                                                                                                                                                          
## 144                                                                                                                                                                                                                                                                                                                          
## 145                                                                                                                                                                                                                                                                                                                          
## 146                                                                                                                                                                                                                                                                                                                          
## 147                                                                                                                                                                                                                                                                                                                     Nope.
## 148                                                                                                                                                                                                                                                                                                                          
## 149                                                                                                                                                                                                                                                                                                                          
## 150                                                                                                                                                                                                                                                                                                                          
## 151                                                                                                                                                                                                                                                                                                                          
## 152                                                                                                                                                                                                                                                                                                                          
## 153                                                                                                                                                                                                                                The tube chart could have been more appealing if the edges weren't too jagged to be honest
## 154                                                                                                                                                                                                                                                                                                                          
## 155                                                                                                                                                                                                                                                                                                                          
## 156                                                                                                                                                                                                                                                                                                                          
## 157                                                                                                                                                                                                                                                                                                                          
## 158                                                                                                                                                                                                                                                                                                                          
## 159                                                                                                                                                                                                                                                                                                                          
## 160                                                                                                                                                                                                                                                                                                                          
## 161                                                                                                                                                                                                                                                                                                               No comment.
## 162                                                                                                                                                                                                                                                                                                                          
## 163                                                                                                                                                                                                                                                                                                                          
## 164                                                                                                                                                                                                                                                                                                                          
## 165                                                                                                                                                                                                                                                                                                                          
## 166                                                                                                                                                                                                                                                                                                                          
## 167                                                                                                                                                                                                                                                                                                                          
## 168                                                                                                                                                                                                                                                                                                                          
## 169                                                                                                                                                                                                                                                                                                                          
## 170                                                                                                                                                                                                                                                                                                              No comments.
## 171                                                                                                                                                                                                                                                                                                                          
## 172                                                                                                                                                                                                                                                                                                                          
## 173                                                                                                                                                                                                                                                                                                                          
## 174                                                                                                                                                                                                                                                                                                                      none
## 175                                                                                                                                                                                                                                                                                                                          
## 176                                                                                                                                                                                                                                             Thank you for allowing me to participate in this study! I wish you success :)
## 177                                                                                                                                                                                                                                                                                                                          
## 178                                                                                                                                                                                                                                                                                                                          
## 179                                                                                                                                                                                                                                                                                                                          
## 180                                                                                                                                                                                                                                                                                                                          
## 181                                                                                                                                                                                                                                                                                                                        no
## 182                                                                                                                                                                                                                                                                                                                          
## 183                                                                                                                                                                                                                                                                                                                          
## 184                                                                                                                                                                                                                                                                                                                          
## 185                                                                                                                                                                                                                                                                                                                          
## 186                                                                                                                                                                                                                                                                                                                          
## 187                                                                                                                                                                                                                                                                                                                          
## 188                                                                                                                                                                                                                                                                                                                          
## 189                                                                                                                                                                                                                                                                                                                          
## 190                                                                                                                                                                                                                                                                                                                          
## 191                                                                                                                                                                                                                                                                                                                          
## 192                                                                                                                                                                                                                                                                                                                          
## 193                                                                                                                                                                                                                                                                                                                          
## 194                                                                                                                                                                                                                                                                                                                          
## 195                                                                                                                                                                                                                                                                                                                          
## 196                                                                                                                                                                                                                                                                                                                          
## 197                                                                                                                                                                                                                                                                                                                          
##     interviewtime groupTime7643 PIDTime CF001Time CF002Time groupTime7644
## 1          109.50         17.31      NA        NA        NA         15.39
## 2          151.55          8.30      NA        NA        NA         16.84
## 3          134.06         20.40      NA        NA        NA         10.04
## 4          145.53         13.69      NA        NA        NA         13.85
## 5          129.74          9.75      NA        NA        NA          5.06
## 6          268.15         13.24      NA        NA        NA         10.41
## 7          329.84         70.99      NA        NA        NA         11.15
## 8          206.77         26.38      NA        NA        NA         21.31
## 9          135.91         15.12      NA        NA        NA         15.22
## 10         155.74         11.59      NA        NA        NA         17.69
## 11         293.64          8.89      NA        NA        NA          7.61
## 12         218.47         33.57      NA        NA        NA          8.79
## 13          75.28         10.95      NA        NA        NA          4.80
## 14         233.46         35.14      NA        NA        NA         10.20
## 15         174.67         27.20      NA        NA        NA          6.70
## 16         125.49         11.73      NA        NA        NA          8.48
## 17         165.88         67.60      NA        NA        NA          5.15
## 18         154.72         14.03      NA        NA        NA         22.86
## 19         174.20         41.88      NA        NA        NA         13.46
## 20         381.70        262.39      NA        NA        NA          5.82
## 21         225.61         52.35      NA        NA        NA         24.44
## 22         157.61         50.82      NA        NA        NA         25.67
## 23         143.05         29.54      NA        NA        NA          5.42
## 24         207.64         36.19      NA        NA        NA          7.02
## 25         148.72         26.85      NA        NA        NA          7.97
## 26         161.36         20.76      NA        NA        NA          6.58
## 27         187.84         29.39      NA        NA        NA          8.15
## 28         375.87        171.60      NA        NA        NA         20.57
## 29         190.58         95.58      NA        NA        NA         16.80
## 30         259.01         68.46      NA        NA        NA         10.98
## 31         125.80          7.84      NA        NA        NA          5.39
## 32         317.58         29.81      NA        NA        NA         34.80
## 33         194.09         26.97      NA        NA        NA          8.81
## 34         357.13        109.79      NA        NA        NA         98.08
## 35         449.45        143.44      NA        NA        NA         45.48
## 36         227.93         70.60      NA        NA        NA          4.56
## 37         231.62         31.48      NA        NA        NA          8.11
## 38         120.84         14.40      NA        NA        NA          6.49
## 39          76.21          8.10      NA        NA        NA          9.80
## 40         124.20         15.80      NA        NA        NA          7.51
## 41         371.62         51.70      NA        NA        NA         10.92
## 42         109.40          6.89      NA        NA        NA         10.79
## 43         168.51         29.23      NA        NA        NA          6.62
## 44         319.25         37.34      NA        NA        NA          6.57
## 45        1087.81        452.49      NA        NA        NA          6.97
## 46         100.69         15.98      NA        NA        NA          5.67
## 47          79.84          9.48      NA        NA        NA         11.30
## 48         354.39         42.22      NA        NA        NA         51.59
## 49          81.16          9.84      NA        NA        NA          8.22
## 50         208.89         22.90      NA        NA        NA          7.48
## 51         113.54         17.77      NA        NA        NA         12.24
## 52         204.47         55.84      NA        NA        NA         13.31
## 53         123.52         20.73      NA        NA        NA         23.10
## 54         143.97          9.20      NA        NA        NA          5.73
## 55         231.49         27.16      NA        NA        NA          5.64
## 56         407.10         34.61      NA        NA        NA          5.43
## 57         145.96         19.06      NA        NA        NA          3.52
## 58         787.98        650.54      NA        NA        NA          6.58
## 59         201.34         37.87      NA        NA        NA          5.62
## 60         224.37         73.54      NA        NA        NA         30.84
## 61         106.22         14.45      NA        NA        NA          4.54
## 62         209.76         46.14      NA        NA        NA          6.81
## 63         184.48         25.26      NA        NA        NA         24.89
## 64         244.10         45.17      NA        NA        NA          6.93
## 65         163.73         13.98      NA        NA        NA          4.74
## 66         506.57        266.51      NA        NA        NA         26.21
## 67         154.38         34.30      NA        NA        NA         13.38
## 68         291.21         25.52      NA        NA        NA        101.35
## 69         270.14         57.62      NA        NA        NA          6.93
## 70         126.74         65.75      NA        NA        NA          6.31
## 71         201.15         45.95      NA        NA        NA         11.40
## 72          84.26          6.48      NA        NA        NA          7.79
## 73         263.45         18.28      NA        NA        NA        125.44
## 74         105.43         10.45      NA        NA        NA          4.27
## 75         304.80         55.58      NA        NA        NA          9.62
## 76         123.78          7.42      NA        NA        NA          9.91
## 77         278.59         60.36      NA        NA        NA         25.95
## 78         160.54         11.43      NA        NA        NA          4.99
## 79         182.49         11.69      NA        NA        NA         11.41
## 80         315.31        110.50      NA        NA        NA          7.97
## 81         143.37         10.36      NA        NA        NA         11.24
## 82         235.41         43.06      NA        NA        NA          6.85
## 83         335.68         80.21      NA        NA        NA          8.46
## 84         194.83         49.19      NA        NA        NA         12.40
## 85         154.52         28.18      NA        NA        NA          7.60
## 86         191.26         50.16      NA        NA        NA          4.31
## 87         180.27         53.73      NA        NA        NA          9.36
## 88         182.21         55.74      NA        NA        NA          7.32
## 89         209.57         18.83      NA        NA        NA         10.16
## 90          66.30          7.10      NA        NA        NA          2.68
## 91         433.19        122.33      NA        NA        NA          9.11
## 92         750.43         23.32      NA        NA        NA        114.18
## 93         181.60         12.82      NA        NA        NA         22.59
## 94         132.52         17.79      NA        NA        NA          8.47
## 95         305.18         27.72      NA        NA        NA         10.13
## 96         107.33         19.13      NA        NA        NA         29.86
## 97         192.58         40.30      NA        NA        NA         17.15
## 98         137.87         11.25      NA        NA        NA          5.40
## 99         220.77         80.52      NA        NA        NA         12.84
## 100        134.79         10.14      NA        NA        NA         11.25
## 101        193.78         35.28      NA        NA        NA         15.64
## 102        415.10        265.56      NA        NA        NA         23.38
## 103        125.25         18.58      NA        NA        NA         11.95
## 104        197.13         47.62      NA        NA        NA          5.53
## 105        135.39         23.60      NA        NA        NA         10.05
## 106        226.96         45.63      NA        NA        NA         40.27
## 107        201.69         29.96      NA        NA        NA         11.02
## 108        315.78         38.17      NA        NA        NA          8.56
## 109        170.06         32.72      NA        NA        NA         10.92
## 110        130.98         13.68      NA        NA        NA         19.31
## 111        203.20         18.46      NA        NA        NA         16.31
## 112        145.23         24.99      NA        NA        NA         11.17
## 113        141.08         16.36      NA        NA        NA         10.31
## 114        361.77         33.51      NA        NA        NA         93.42
## 115        156.74         15.49      NA        NA        NA         12.66
## 116        123.38         19.18      NA        NA        NA         11.07
## 117        180.22         22.86      NA        NA        NA         15.33
## 118        229.21         77.59      NA        NA        NA         41.04
## 119        210.67         34.04      NA        NA        NA         11.33
## 120        161.05         22.85      NA        NA        NA          8.24
## 121        151.12         32.39      NA        NA        NA          6.72
## 122        162.22         17.68      NA        NA        NA         11.14
## 123        374.67         61.79      NA        NA        NA         55.26
## 124        103.96         16.60      NA        NA        NA         13.11
## 125        208.08         24.28      NA        NA        NA          9.27
## 126        128.35         18.77      NA        NA        NA          7.02
## 127        177.84         37.15      NA        NA        NA         18.12
## 128        624.04         15.61      NA        NA        NA         18.38
## 129        211.50         21.54      NA        NA        NA         35.24
## 130        261.32         73.53      NA        NA        NA         11.85
## 131        163.54         32.85      NA        NA        NA          6.88
## 132        607.75         95.12      NA        NA        NA         19.88
## 133        238.96         49.02      NA        NA        NA         15.76
## 134        172.52         33.38      NA        NA        NA         26.00
## 135        201.53         21.82      NA        NA        NA         11.01
## 136        218.02         46.12      NA        NA        NA          7.33
## 137        136.82         43.01      NA        NA        NA         11.55
## 138        296.59         18.48      NA        NA        NA         20.46
## 139        175.30         16.24      NA        NA        NA          7.64
## 140        182.73         28.56      NA        NA        NA         10.05
## 141        265.72         35.69      NA        NA        NA         14.74
## 142        187.38         34.95      NA        NA        NA          5.08
## 143        137.03         20.65      NA        NA        NA          6.08
## 144        386.70        148.84      NA        NA        NA          9.50
## 145        160.05         13.00      NA        NA        NA          5.64
## 146        157.19         12.39      NA        NA        NA         29.68
## 147        439.99         93.83      NA        NA        NA         10.97
## 148        133.87         10.79      NA        NA        NA          4.40
## 149        163.31         18.88      NA        NA        NA         12.34
## 150        168.09         12.19      NA        NA        NA         30.59
## 151        171.81         33.08      NA        NA        NA          7.22
## 152        216.62         15.71      NA        NA        NA          4.50
## 153        356.19         31.08      NA        NA        NA         14.49
## 154        191.24         30.08      NA        NA        NA          5.47
## 155        166.12         31.17      NA        NA        NA         11.89
## 156        125.78          9.89      NA        NA        NA          8.48
## 157        207.88         52.67      NA        NA        NA         29.27
## 158        148.68         26.53      NA        NA        NA          6.83
## 159        318.91         52.82      NA        NA        NA         32.88
## 160        120.10         21.01      NA        NA        NA          8.05
## 161        325.75        101.94      NA        NA        NA          9.84
## 162        180.83         17.59      NA        NA        NA         14.62
## 163        435.68         55.91      NA        NA        NA         11.59
## 164        185.74         15.08      NA        NA        NA         14.41
## 165        106.36         12.33      NA        NA        NA          3.93
## 166        510.35         60.97      NA        NA        NA          8.22
## 167        458.72         21.08      NA        NA        NA         29.73
## 168        242.66         13.94      NA        NA        NA         12.43
## 169        273.65         69.38      NA        NA        NA         14.29
## 170        390.53         45.11      NA        NA        NA         12.06
## 171        143.33         13.39      NA        NA        NA          7.41
## 172        165.28         33.63      NA        NA        NA         12.54
## 173        540.00        213.45      NA        NA        NA         13.08
## 174        119.28         14.65      NA        NA        NA          4.93
## 175        127.15         28.96      NA        NA        NA         11.42
## 176        172.01         49.42      NA        NA        NA          4.22
## 177        790.49          7.95      NA        NA        NA         17.70
## 178        139.71         16.65      NA        NA        NA         17.88
## 179         84.01         11.72      NA        NA        NA          6.14
## 180        172.10         18.98      NA        NA        NA          9.80
## 181        580.59        226.98      NA        NA        NA         68.01
## 182        236.08         57.74      NA        NA        NA          6.80
## 183        316.59         70.04      NA        NA        NA         72.58
## 184        274.04         22.87      NA        NA        NA         48.74
## 185        290.01         96.44      NA        NA        NA         21.34
## 186        117.72         10.33      NA        NA        NA          7.69
## 187        169.61         19.83      NA        NA        NA         70.94
## 188        116.30         11.19      NA        NA        NA          4.05
## 189         80.92         14.04      NA        NA        NA          5.92
## 190        103.89         18.87      NA        NA        NA          6.82
## 191        125.62          8.72      NA        NA        NA          6.43
## 192        143.19         11.58      NA        NA        NA         10.10
## 193        192.35         35.61      NA        NA        NA         10.46
## 194        296.22         50.05      NA        NA        NA         43.93
## 195        218.48         59.60      NA        NA        NA          6.54
## 196        178.19         13.17      NA        NA        NA         33.05
## 197         62.63         10.13      NA        NA        NA          5.54
##     educationTime groupTime7645 IQ001Time groupTime7647 sunburstTime
## 1              NA         12.30        NA         25.35           NA
## 2              NA         38.18        NA         31.52           NA
## 3              NA         25.48        NA         24.33           NA
## 4              NA         28.33        NA         41.48           NA
## 5              NA         20.01        NA         39.05           NA
## 6              NA         31.05        NA         60.73           NA
## 7              NA         84.28        NA         53.80           NA
## 8              NA         45.37        NA         35.73           NA
## 9              NA         28.84        NA         20.84           NA
## 10             NA         28.79        NA         28.43           NA
## 11             NA        219.68        NA         15.10           NA
## 12             NA         44.29        NA         29.80           NA
## 13             NA          4.49        NA         21.36           NA
## 14             NA         59.14        NA         30.25           NA
## 15             NA         54.52        NA         20.35           NA
## 16             NA         54.69        NA         13.09           NA
## 17             NA         21.02        NA         29.28           NA
## 18             NA         46.36        NA         23.23           NA
## 19             NA         41.97        NA         24.24           NA
## 20             NA         27.33        NA         38.03           NA
## 21             NA         35.22        NA         28.94           NA
## 22             NA         32.88        NA         19.16           NA
## 23             NA         30.19        NA         20.36           NA
## 24             NA         55.50        NA         28.32           NA
## 25             NA         29.88        NA         19.30           NA
## 26             NA         36.08        NA         30.75           NA
## 27             NA         28.59        NA         36.65           NA
## 28             NA         62.56        NA         43.24           NA
## 29             NA          6.00        NA         21.47           NA
## 30             NA         38.12        NA         41.01           NA
## 31             NA         38.24        NA         13.20           NA
## 32             NA        144.97        NA         25.85           NA
## 33             NA         24.24        NA         28.26           NA
## 34             NA         26.75        NA         51.63           NA
## 35             NA         60.10        NA         28.80           NA
## 36             NA         38.95        NA         38.57           NA
## 37             NA         55.22        NA         85.37           NA
## 38             NA         13.58        NA         25.83           NA
## 39             NA          4.32        NA         15.65           NA
## 40             NA          5.85        NA         28.89           NA
## 41             NA        156.93        NA         47.45           NA
## 42             NA         42.52        NA         14.40           NA
## 43             NA         25.17        NA         40.08           NA
## 44             NA         34.13        NA         40.06           NA
## 45             NA        112.31        NA         40.00           NA
## 46             NA         17.85        NA         16.48           NA
## 47             NA         10.79        NA         19.18           NA
## 48             NA         34.27        NA         48.15           NA
## 49             NA          3.74        NA         18.65           NA
## 50             NA         62.78        NA         22.64           NA
## 51             NA         18.68        NA         16.83           NA
## 52             NA         26.80        NA         30.87           NA
## 53             NA         20.41        NA         22.39           NA
## 54             NA          5.48        NA         29.40           NA
## 55             NA         39.76        NA         48.52           NA
## 56             NA        117.95        NA        150.04           NA
## 57             NA         33.11        NA         27.37           NA
## 58             NA         21.99        NA         35.09           NA
## 59             NA         46.47        NA         26.04           NA
## 60             NA         29.77        NA         29.17           NA
## 61             NA         27.74        NA         12.22           NA
## 62             NA         51.22        NA         29.04           NA
## 63             NA         18.27        NA         11.89           NA
## 64             NA         69.00        NA         25.04           NA
## 65             NA         47.46        NA         22.05           NA
## 66             NA         65.69        NA         47.72           NA
## 67             NA         26.24        NA         24.98           NA
## 68             NA         63.58        NA         42.30           NA
## 69             NA         28.11        NA         40.85           NA
## 70             NA          2.99        NA         19.63           NA
## 71             NA         37.94        NA         43.87           NA
## 72             NA          4.43        NA         19.70           NA
## 73             NA         31.41        NA         30.35           NA
## 74             NA         16.89        NA         18.43           NA
## 75             NA         23.66        NA         37.68           NA
## 76             NA         15.75        NA         18.32           NA
## 77             NA         43.39        NA         32.77           NA
## 78             NA         30.22        NA         18.13           NA
## 79             NA         68.49        NA         33.81           NA
## 80             NA         56.48        NA         42.00           NA
## 81             NA         42.75        NA         21.23           NA
## 82             NA         47.44        NA         35.89           NA
## 83             NA         81.79        NA         31.37           NA
## 84             NA         27.88        NA         38.42           NA
## 85             NA         11.53        NA         31.41           NA
## 86             NA         31.90        NA         36.66           NA
## 87             NA         26.82        NA         29.02           NA
## 88             NA         33.39        NA         31.01           NA
## 89             NA         30.46        NA         29.60           NA
## 90             NA          2.19        NA         18.40           NA
## 91             NA        111.22        NA         58.74           NA
## 92             NA        514.85        NA         23.49           NA
## 93             NA         38.27        NA         27.16           NA
## 94             NA         10.30        NA         29.10           NA
## 95             NA         55.27        NA         66.30           NA
## 96             NA          4.50        NA         14.13           NA
## 97             NA          6.76        NA         28.46           NA
## 98             NA         15.61        NA         26.93           NA
## 99             NA         49.93        NA         16.08           NA
## 100            NA         54.66        NA         23.12           NA
## 101            NA         45.66        NA         30.78           NA
## 102            NA         36.95        NA         28.14           NA
## 103            NA          9.07        NA         19.76           NA
## 104            NA         42.30        NA         26.56           NA
## 105            NA          7.47        NA         34.26           NA
## 106            NA         30.20        NA         23.21           NA
## 107            NA         45.52        NA         40.61           NA
## 108            NA         49.59        NA         46.21           NA
## 109            NA         39.76        NA         25.51           NA
## 110            NA          8.36        NA         18.74           NA
## 111            NA         34.52        NA         47.12           NA
## 112            NA         11.45        NA         41.76           NA
## 113            NA         16.53        NA         20.90           NA
## 114            NA         56.12        NA         52.91           NA
## 115            NA         45.58        NA         20.72           NA
## 116            NA         10.99        NA         36.98           NA
## 117            NA         70.68        NA         17.90           NA
## 118            NA         22.10        NA         37.09           NA
## 119            NA         54.25        NA         37.68           NA
## 120            NA         43.28        NA         23.22           NA
## 121            NA         29.78        NA         21.19           NA
## 122            NA         47.40        NA         29.95           NA
## 123            NA         75.61        NA         69.14           NA
## 124            NA          9.15        NA         10.79           NA
## 125            NA         53.93        NA         22.52           NA
## 126            NA         15.86        NA         24.65           NA
## 127            NA         28.67        NA         27.63           NA
## 128            NA        104.66        NA        121.03           NA
## 129            NA         50.90        NA         36.54           NA
## 130            NA         38.66        NA         35.20           NA
## 131            NA         61.61        NA         11.30           NA
## 132            NA        221.97        NA         74.72           NA
## 133            NA         52.59        NA         35.98           NA
## 134            NA         29.66        NA         26.35           NA
## 135            NA         49.74        NA         34.15           NA
## 136            NA         35.17        NA         32.98           NA
## 137            NA          9.28        NA         24.16           NA
## 138            NA         19.49        NA         14.77           NA
## 139            NA         18.81        NA         38.65           NA
## 140            NA         41.42        NA         41.54           NA
## 141            NA         76.99        NA         44.40           NA
## 142            NA         30.38        NA         26.38           NA
## 143            NA         28.40        NA         24.59           NA
## 144            NA        122.73        NA         36.66           NA
## 145            NA         30.74        NA         37.71           NA
## 146            NA         37.42        NA         19.93           NA
## 147            NA        146.66        NA         43.12           NA
## 148            NA         39.41        NA         21.07           NA
## 149            NA         18.74        NA         27.07           NA
## 150            NA         13.38        NA         41.07           NA
## 151            NA         14.35        NA         18.48           NA
## 152            NA         51.31        NA         26.87           NA
## 153            NA         37.20        NA        100.34           NA
## 154            NA         39.51        NA         29.94           NA
## 155            NA         16.67        NA         41.88           NA
## 156            NA         35.33        NA         22.04           NA
## 157            NA         35.16        NA         28.81           NA
## 158            NA         22.20        NA         23.47           NA
## 159            NA         78.50        NA         48.32           NA
## 160            NA          9.50        NA         24.43           NA
## 161            NA         55.92        NA         30.58           NA
## 162            NA         46.80        NA         51.85           NA
## 163            NA        140.28        NA        119.31           NA
## 164            NA         50.32        NA         24.35           NA
## 165            NA         15.56        NA         26.78           NA
## 166            NA         90.50        NA         65.45           NA
## 167            NA         67.57        NA        204.59           NA
## 168            NA        102.00        NA         30.45           NA
## 169            NA         51.09        NA         39.59           NA
## 170            NA         50.29        NA         51.45           NA
## 171            NA         20.00        NA         21.25           NA
## 172            NA         18.43        NA         30.79           NA
## 173            NA         93.88        NA         33.99           NA
## 174            NA         28.31        NA         23.34           NA
## 175            NA         21.15        NA         14.92           NA
## 176            NA         32.84        NA         15.52           NA
## 177            NA          6.33        NA         10.24           NA
## 178            NA         15.54        NA         57.91           NA
## 179            NA         22.61        NA         11.66           NA
## 180            NA         46.08        NA         36.48           NA
## 181            NA         63.79        NA         20.42           NA
## 182            NA         38.73        NA         40.12           NA
## 183            NA         60.13        NA         46.70           NA
## 184            NA         50.71        NA         32.02           NA
## 185            NA         36.67        NA         28.19           NA
## 186            NA         14.15        NA         24.20           NA
## 187            NA         27.97        NA         15.07           NA
## 188            NA         21.97        NA         21.21           NA
## 189            NA          6.62        NA         16.66           NA
## 190            NA         16.29        NA         23.73           NA
## 191            NA         12.12        NA         23.45           NA
## 192            NA         33.30        NA         21.59           NA
## 193            NA         42.34        NA         24.38           NA
## 194            NA         39.79        NA         46.42           NA
## 195            NA          5.09        NA         53.83           NA
## 196            NA         41.74        NA         35.13           NA
## 197            NA          3.08        NA         11.76           NA
##     groupTime7662 beamtreeTime groupTime7663 startreeTime groupTime7646 ENDTime
## 1           17.98           NA         18.63           NA          2.54      NA
## 2           17.88           NA         36.23           NA          2.60      NA
## 3           19.04           NA         31.38           NA          3.39      NA
## 4           17.56           NA         27.75           NA          2.87      NA
## 5           31.66           NA         22.00           NA          2.21      NA
## 6           75.57           NA         73.74           NA          3.41      NA
## 7           69.58           NA         35.93           NA          4.11      NA
## 8           33.32           NA         36.80           NA          7.86      NA
## 9           18.10           NA         32.01           NA          5.78      NA
## 10          33.52           NA         32.65           NA          3.07      NA
## 11          16.06           NA         23.94           NA          2.36      NA
## 12          41.49           NA         56.52           NA          4.01      NA
## 13          12.05           NA         18.08           NA          3.55      NA
## 14          46.84           NA         44.61           NA          7.28      NA
## 15          26.03           NA         36.55           NA          3.32      NA
## 16          16.61           NA         18.78           NA          2.11      NA
## 17          15.90           NA         23.60           NA          3.33      NA
## 18          20.94           NA         23.83           NA          3.47      NA
## 19          25.57           NA         21.07           NA          6.01      NA
## 20          21.87           NA         23.11           NA          3.15      NA
## 21          39.95           NA         39.95           NA          4.76      NA
## 22           8.26           NA         18.10           NA          2.72      NA
## 23          23.38           NA         31.34           NA          2.82      NA
## 24          16.94           NA         58.91           NA          4.76      NA
## 25          27.97           NA         32.94           NA          3.81      NA
## 26          27.59           NA         36.38           NA          3.22      NA
## 27          46.59           NA         30.35           NA          8.12      NA
## 28          38.10           NA         35.44           NA          4.36      NA
## 29          21.89           NA         24.96           NA          3.88      NA
## 30          36.53           NA         51.70           NA         12.21      NA
## 31          12.01           NA         46.47           NA          2.65      NA
## 32          44.43           NA         33.76           NA          3.96      NA
## 33          18.59           NA         82.83           NA          4.39      NA
## 34          32.86           NA         28.75           NA          9.27      NA
## 35          82.10           NA         70.51           NA         19.02      NA
## 36          30.66           NA         42.15           NA          2.44      NA
## 37          28.29           NA         19.90           NA          3.25      NA
## 38          26.73           NA         30.19           NA          3.62      NA
## 39          15.13           NA         18.58           NA          4.63      NA
## 40          32.57           NA         31.06           NA          2.52      NA
## 41          51.81           NA         48.01           NA          4.80      NA
## 42          14.16           NA         17.43           NA          3.21      NA
## 43          26.69           NA         35.43           NA          5.29      NA
## 44          28.75           NA         36.35           NA        136.05      NA
## 45          46.96           NA        387.36           NA         41.72      NA
## 46          13.79           NA         28.07           NA          2.85      NA
## 47          14.46           NA         11.58           NA          3.05      NA
## 48          61.63           NA         35.51           NA         81.02      NA
## 49          19.87           NA         18.23           NA          2.61      NA
## 50          22.85           NA         67.08           NA          3.16      NA
## 51          19.80           NA         24.59           NA          3.63      NA
## 52          38.10           NA         36.19           NA          3.36      NA
## 53           9.91           NA         23.69           NA          3.29      NA
## 54          24.85           NA         66.48           NA          2.83      NA
## 55          49.86           NA         52.12           NA          8.43      NA
## 56          33.35           NA         61.59           NA          4.13      NA
## 57          30.53           NA         29.82           NA          2.55      NA
## 58          28.74           NA         42.39           NA          2.65      NA
## 59          30.33           NA         51.91           NA          3.10      NA
## 60          24.09           NA         28.89           NA          8.07      NA
## 61          17.09           NA         27.50           NA          2.68      NA
## 62          33.59           NA         39.71           NA          3.25      NA
## 63          26.23           NA         74.33           NA          3.61      NA
## 64          41.36           NA         34.21           NA         22.39      NA
## 65          29.57           NA         41.66           NA          4.27      NA
## 66          43.64           NA         53.54           NA          3.26      NA
## 67          24.49           NA         25.84           NA          5.15      NA
## 68          25.61           NA         30.31           NA          2.54      NA
## 69          49.13           NA         84.42           NA          3.08      NA
## 70          12.07           NA         13.61           NA          6.38      NA
## 71          29.31           NA         30.02           NA          2.66      NA
## 72          18.57           NA         24.43           NA          2.86      NA
## 73          28.96           NA         25.24           NA          3.77      NA
## 74          24.96           NA         27.47           NA          2.96      NA
## 75          37.65           NA         61.96           NA         78.65      NA
## 76          33.50           NA         35.88           NA          3.00      NA
## 77          57.29           NA         55.62           NA          3.21      NA
## 78          45.18           NA         48.42           NA          2.17      NA
## 79          26.57           NA         27.26           NA          3.26      NA
## 80          51.87           NA         42.35           NA          4.14      NA
## 81          25.87           NA         28.94           NA          2.98      NA
## 82          44.16           NA         43.42           NA         14.59      NA
## 83          41.71           NA         84.02           NA          8.12      NA
## 84          21.66           NA         40.50           NA          4.78      NA
## 85          30.16           NA         42.99           NA          2.65      NA
## 86          34.02           NA         30.48           NA          3.73      NA
## 87          21.98           NA         36.47           NA          2.89      NA
## 88          25.17           NA         20.98           NA          8.60      NA
## 89          55.75           NA         54.25           NA         10.52      NA
## 90          15.24           NA         18.80           NA          1.89      NA
## 91          65.20           NA         62.25           NA          4.34      NA
## 92          41.86           NA         28.97           NA          3.76      NA
## 93          55.08           NA         23.18           NA          2.50      NA
## 94          30.72           NA         33.99           NA          2.15      NA
## 95          83.63           NA         55.93           NA          6.20      NA
## 96           9.82           NA         26.83           NA          3.06      NA
## 97          35.90           NA         53.34           NA         10.67      NA
## 98          21.68           NA         54.28           NA          2.72      NA
## 99          35.53           NA         23.89           NA          1.98      NA
## 100          9.75           NA         22.69           NA          3.18      NA
## 101         35.67           NA         26.86           NA          3.89      NA
## 102         31.47           NA         26.68           NA          2.92      NA
## 103         26.74           NA         34.11           NA          5.04      NA
## 104         30.27           NA         40.09           NA          4.76      NA
## 105         24.67           NA         32.21           NA          3.13      NA
## 106         30.88           NA         52.22           NA          4.55      NA
## 107         24.86           NA         46.63           NA          3.09      NA
## 108         58.26           NA        101.22           NA         13.77      NA
## 109         27.17           NA         31.18           NA          2.80      NA
## 110         35.58           NA         32.31           NA          3.00      NA
## 111         28.71           NA         47.38           NA         10.70      NA
## 112         33.23           NA         19.25           NA          3.38      NA
## 113         20.26           NA         33.98           NA         22.74      NA
## 114         75.14           NA         41.42           NA          9.25      NA
## 115         22.45           NA         28.27           NA         11.57      NA
## 116         18.12           NA         24.31           NA          2.73      NA
## 117         19.18           NA         31.04           NA          3.23      NA
## 118         15.97           NA         32.35           NA          3.07      NA
## 119         25.20           NA         45.11           NA          3.06      NA
## 120         26.30           NA         34.74           NA          2.42      NA
## 121         43.66           NA         13.41           NA          3.97      NA
## 122         20.27           NA         31.70           NA          4.08      NA
## 123         48.13           NA         60.58           NA          4.16      NA
## 124         14.44           NA         36.75           NA          3.12      NA
## 125         60.62           NA         33.50           NA          3.96      NA
## 126         27.21           NA         31.75           NA          3.09      NA
## 127         23.33           NA         35.21           NA          7.73      NA
## 128        164.74           NA        196.80           NA          2.82      NA
## 129         27.86           NA         34.49           NA          4.93      NA
## 130         31.81           NA         65.67           NA          4.60      NA
## 131         20.11           NA         27.18           NA          3.61      NA
## 132         83.33           NA         97.71           NA         15.02      NA
## 133         33.35           NA         49.12           NA          3.14      NA
## 134         22.23           NA         30.69           NA          4.21      NA
## 135         47.08           NA         33.43           NA          4.30      NA
## 136         51.34           NA         41.78           NA          3.30      NA
## 137         21.28           NA         24.00           NA          3.54      NA
## 138         13.82           NA        206.46           NA          3.11      NA
## 139         24.51           NA         14.85           NA         54.60      NA
## 140         27.98           NA         30.07           NA          3.11      NA
## 141         33.31           NA         57.21           NA          3.38      NA
## 142         16.30           NA         32.45           NA         41.84      NA
## 143         27.21           NA         27.47           NA          2.63      NA
## 144         36.15           NA         28.87           NA          3.95      NA
## 145         36.00           NA         33.57           NA          3.39      NA
## 146         32.29           NA         22.16           NA          3.32      NA
## 147         31.67           NA        104.88           NA          8.86      NA
## 148         22.44           NA         33.02           NA          2.74      NA
## 149         49.80           NA         33.56           NA          2.92      NA
## 150         34.59           NA         32.26           NA          4.01      NA
## 151         27.18           NA         68.15           NA          3.35      NA
## 152         53.14           NA         62.59           NA          2.50      NA
## 153         41.30           NA         48.43           NA         83.35      NA
## 154         37.92           NA         43.87           NA          4.45      NA
## 155         27.77           NA         32.42           NA          4.32      NA
## 156         21.31           NA         25.77           NA          2.96      NA
## 157         29.19           NA         29.96           NA          2.82      NA
## 158         28.03           NA         36.65           NA          4.97      NA
## 159         61.06           NA         41.75           NA          3.58      NA
## 160         22.42           NA         30.75           NA          3.94      NA
## 161         39.06           NA         54.65           NA         33.76      NA
## 162         22.80           NA         23.28           NA          3.89      NA
## 163         41.53           NA         63.16           NA          3.90      NA
## 164         35.21           NA         42.94           NA          3.43      NA
## 165         21.48           NA         24.01           NA          2.27      NA
## 166        125.32           NA        154.09           NA          5.80      NA
## 167         68.63           NA         51.92           NA         15.20      NA
## 168         30.68           NA         48.49           NA          4.67      NA
## 169         38.50           NA         56.33           NA          4.47      NA
## 170         79.97           NA        133.82           NA         17.83      NA
## 171         44.65           NA         33.43           NA          3.20      NA
## 172         28.20           NA         39.36           NA          2.33      NA
## 173         52.44           NA        121.76           NA         11.40      NA
## 174         17.15           NA         26.06           NA          4.84      NA
## 175         13.73           NA         33.15           NA          3.82      NA
## 176         23.08           NA         17.75           NA         29.18      NA
## 177          7.39           NA        738.74           NA          2.14      NA
## 178         10.45           NA         17.32           NA          3.96      NA
## 179         16.34           NA         12.02           NA          3.52      NA
## 180         17.94           NA         38.79           NA          4.03      NA
## 181         50.20           NA        142.17           NA          9.02      NA
## 182         48.59           NA         39.91           NA          4.19      NA
## 183         26.36           NA         35.32           NA          5.46      NA
## 184         28.60           NA         88.00           NA          3.10      NA
## 185         43.68           NA         59.12           NA          4.57      NA
## 186         23.08           NA         35.25           NA          3.02      NA
## 187         14.75           NA         18.10           NA          2.95      NA
## 188         28.49           NA         25.82           NA          3.57      NA
## 189         12.99           NA         21.72           NA          2.97      NA
## 190         17.07           NA         18.11           NA          3.00      NA
## 191         29.71           NA         22.78           NA         22.41      NA
## 192         31.98           NA         30.70           NA          3.94      NA
## 193         31.70           NA         44.72           NA          3.14      NA
## 194         57.62           NA         52.60           NA          5.81      NA
## 195         74.16           NA         16.39           NA          2.87      NA
## 196         18.49           NA         33.17           NA          3.44      NA
## 197          8.58           NA         10.56           NA         12.98      NA
##              status       gender age
## 1   AWAITING REVIEW         Male  20
## 2   AWAITING REVIEW       Female  20
## 3   AWAITING REVIEW         Male  21
## 4   AWAITING REVIEW         Male  25
## 5   AWAITING REVIEW       Female  26
## 6   AWAITING REVIEW         Male  20
## 7   AWAITING REVIEW       Female  21
## 8   AWAITING REVIEW       Female  19
## 9   AWAITING REVIEW         Male  20
## 10  AWAITING REVIEW         Male  20
## 11  AWAITING REVIEW         Male  22
## 12  AWAITING REVIEW DATA EXPIRED  43
## 13  AWAITING REVIEW         Male  24
## 14  AWAITING REVIEW       Female  20
## 15  AWAITING REVIEW         Male  22
## 16  AWAITING REVIEW         Male  21
## 17  AWAITING REVIEW         Male  28
## 18  AWAITING REVIEW       Female  21
## 19  AWAITING REVIEW         Male  23
## 20  AWAITING REVIEW         Male  21
## 21  AWAITING REVIEW       Female  20
## 22  AWAITING REVIEW       Female  27
## 23  AWAITING REVIEW         Male  25
## 24  AWAITING REVIEW       Female  26
## 25  AWAITING REVIEW       Female  25
## 26  AWAITING REVIEW       Female  23
## 27  AWAITING REVIEW         Male  26
## 28  AWAITING REVIEW         Male  22
## 29  AWAITING REVIEW       Female  32
## 30  AWAITING REVIEW       Female  20
## 31  AWAITING REVIEW         Male  23
## 32  AWAITING REVIEW         Male  20
## 33  AWAITING REVIEW         Male  27
## 34  AWAITING REVIEW         Male  23
## 35  AWAITING REVIEW         Male  22
## 36  AWAITING REVIEW         Male  26
## 37  AWAITING REVIEW         Male  20
## 38  AWAITING REVIEW         Male  22
## 39  AWAITING REVIEW       Female  47
## 40  AWAITING REVIEW         Male  19
## 41  AWAITING REVIEW       Female  21
## 42  AWAITING REVIEW         Male  18
## 43  AWAITING REVIEW       Female  26
## 44  AWAITING REVIEW       Female  23
## 45  AWAITING REVIEW         Male  18
## 46  AWAITING REVIEW         Male  27
## 47  AWAITING REVIEW         Male  20
## 48  AWAITING REVIEW       Female  28
## 49  AWAITING REVIEW         Male  20
## 50  AWAITING REVIEW         Male  25
## 51  AWAITING REVIEW         Male  28
## 52  AWAITING REVIEW       Female  20
## 53  AWAITING REVIEW         Male  24
## 54  AWAITING REVIEW         Male  22
## 55  AWAITING REVIEW         Male  59
## 56  AWAITING REVIEW         Male  27
## 57  AWAITING REVIEW       Female  34
## 58  AWAITING REVIEW       Female  22
## 59  AWAITING REVIEW       Female  25
## 60  AWAITING REVIEW         Male  24
## 61  AWAITING REVIEW         Male  20
## 62  AWAITING REVIEW         Male  23
## 63  AWAITING REVIEW       Female  22
## 64  AWAITING REVIEW       Female  25
## 65  AWAITING REVIEW         Male  29
## 66  AWAITING REVIEW       Female  19
## 67  AWAITING REVIEW         Male  18
## 68  AWAITING REVIEW         Male  20
## 69  AWAITING REVIEW       Female  24
## 70  AWAITING REVIEW         Male  20
## 71  AWAITING REVIEW       Female  21
## 72  AWAITING REVIEW         Male  21
## 73  AWAITING REVIEW         Male  36
## 74  AWAITING REVIEW         Male  39
## 75  AWAITING REVIEW       Female  30
## 76  AWAITING REVIEW         Male  20
## 77  AWAITING REVIEW         Male  23
## 78  AWAITING REVIEW         Male  34
## 79  AWAITING REVIEW         Male  21
## 80  AWAITING REVIEW       Female  29
## 81  AWAITING REVIEW         Male  20
## 82  AWAITING REVIEW         Male  39
## 83  AWAITING REVIEW       Female  30
## 84  AWAITING REVIEW         Male  20
## 85  AWAITING REVIEW         Male  21
## 86  AWAITING REVIEW       Female  34
## 87  AWAITING REVIEW         Male  22
## 88  AWAITING REVIEW         Male  29
## 89  AWAITING REVIEW         Male  27
## 90                                NA
## 91  AWAITING REVIEW         Male  35
## 92  AWAITING REVIEW       Female  19
## 93  AWAITING REVIEW         Male  22
## 94  AWAITING REVIEW         Male  28
## 95  AWAITING REVIEW       Female  21
## 96  AWAITING REVIEW         Male  20
## 97  AWAITING REVIEW         Male  20
## 98  AWAITING REVIEW         Male  21
## 99  AWAITING REVIEW         Male  24
## 100 AWAITING REVIEW         Male  32
## 101 AWAITING REVIEW       Female  22
## 102 AWAITING REVIEW       Female  20
## 103 AWAITING REVIEW       Female  22
## 104 AWAITING REVIEW       Female  22
## 105 AWAITING REVIEW       Female  21
## 106 AWAITING REVIEW         Male  25
## 107 AWAITING REVIEW         Male  25
## 108 AWAITING REVIEW       Female  24
## 109 AWAITING REVIEW         Male  27
## 110 AWAITING REVIEW         Male  24
## 111 AWAITING REVIEW         Male  38
## 112 AWAITING REVIEW         Male  24
## 113 AWAITING REVIEW       Female  25
## 114 AWAITING REVIEW       Female  27
## 115 AWAITING REVIEW         Male  20
## 116 AWAITING REVIEW         Male  28
## 117 AWAITING REVIEW         Male  22
## 118 AWAITING REVIEW       Female  26
## 119 AWAITING REVIEW         Male  24
## 120 AWAITING REVIEW         Male  19
## 121 AWAITING REVIEW         Male  23
## 122 AWAITING REVIEW         Male  34
## 123 AWAITING REVIEW       Female  20
## 124 AWAITING REVIEW         Male  23
## 125 AWAITING REVIEW       Female  22
## 126 AWAITING REVIEW         Male  24
## 127 AWAITING REVIEW         Male  35
## 128 AWAITING REVIEW         Male  23
## 129 AWAITING REVIEW         Male  32
## 130 AWAITING REVIEW         Male  48
## 131 AWAITING REVIEW       Female  21
## 132 AWAITING REVIEW         Male  37
## 133 AWAITING REVIEW         Male  20
## 134 AWAITING REVIEW       Female  21
## 135 AWAITING REVIEW         Male  21
## 136 AWAITING REVIEW         Male  28
## 137 AWAITING REVIEW         Male  25
## 138 AWAITING REVIEW         Male  22
## 139 AWAITING REVIEW         Male  34
## 140 AWAITING REVIEW         Male  25
## 141 AWAITING REVIEW       Female  19
## 142 AWAITING REVIEW       Female  32
## 143 AWAITING REVIEW         Male  30
## 144 AWAITING REVIEW       Female  25
## 145 AWAITING REVIEW       Female  22
## 146 AWAITING REVIEW         Male  20
## 147 AWAITING REVIEW         Male  28
## 148 AWAITING REVIEW         Male  31
## 149 AWAITING REVIEW         Male  23
## 150 AWAITING REVIEW       Female  19
## 151 AWAITING REVIEW         Male  31
## 152 AWAITING REVIEW         Male  24
## 153 AWAITING REVIEW         Male  26
## 154 AWAITING REVIEW       Female  26
## 155 AWAITING REVIEW       Female  24
## 156 AWAITING REVIEW         Male  21
## 157 AWAITING REVIEW         Male  19
## 158 AWAITING REVIEW       Female  29
## 159 AWAITING REVIEW         Male  24
## 160 AWAITING REVIEW         Male  20
## 161 AWAITING REVIEW       Female  25
## 162 AWAITING REVIEW       Female  22
## 163 AWAITING REVIEW       Female  22
## 164 AWAITING REVIEW       Female  20
## 165 AWAITING REVIEW         Male  39
## 166 AWAITING REVIEW         Male  44
## 167 AWAITING REVIEW       Female  24
## 168 AWAITING REVIEW         Male  20
## 169 AWAITING REVIEW       Female  37
## 170 AWAITING REVIEW         Male  41
## 171 AWAITING REVIEW         Male  32
## 172 AWAITING REVIEW       Female  24
## 173 AWAITING REVIEW       Female  23
## 174 AWAITING REVIEW         Male  35
## 175 AWAITING REVIEW         Male  29
## 176 AWAITING REVIEW         Male  26
## 177 AWAITING REVIEW         Male  21
## 178 AWAITING REVIEW         Male  24
## 179 AWAITING REVIEW         Male  22
## 180 AWAITING REVIEW         Male  22
## 181 AWAITING REVIEW       Female  48
## 182 AWAITING REVIEW         Male  22
## 183 AWAITING REVIEW         Male  22
## 184 AWAITING REVIEW         Male  26
## 185 AWAITING REVIEW       Female  20
## 186 AWAITING REVIEW         Male  18
## 187 AWAITING REVIEW         Male  24
## 188 AWAITING REVIEW         Male  32
## 189 AWAITING REVIEW       Female  24
## 190 AWAITING REVIEW         Male  30
## 191 AWAITING REVIEW       Female  23
## 192 AWAITING REVIEW         Male  26
## 193 AWAITING REVIEW       Female  21
## 194 AWAITING REVIEW       Female  20
## 195 AWAITING REVIEW         Male  19
## 196 AWAITING REVIEW       Female  20
## 197 AWAITING REVIEW         Male  21

# split data
# results for Sunburst - our scale
data_sun <- data[, c('sunburst.enjoyable.', 'sunburst.likable.', 'sunburst.pleasing.', 'sunburst.nice.', 'sunburst.appealing.')]
# results for Sunburst - classic aesthetic for website scale
data_sun_ca <- data[, c('sunburst.aesthetic.', 'sunburst.pleasant.', 'sunburst.clear.', 'sunburst.clean.', 'sunburst.symmetric.')]

# results for Beamtree - our scale
data_beam <- data[, c('beamtree.enjoyable.', 'beamtree.likable.', 'beamtree.pleasing.', 'beamtree.nice.', 'beamtree.appealing.')]
# results for Beamtree - classic aesthetic for website scale
data_beam_ca <- data[, c('beamtree.aesthetic.', 'beamtree.pleasant.', 'beamtree.clear.', 'beamtree.clean.', 'beamtree.symmetric.')]

# results for Startree - our scale
data_star <- data[, c('startree.enjoyable.', 'startree.likable.', 'startree.pleasing.', 'startree.nice.', 'startree.appealing.')]
# results for Startree - classic aesthetic for website scale
data_star_ca <- data[, c('startree.aesthetic.', 'startree.pleasant.', 'startree.clear.', 'startree.clean.', 'startree.symmetric.')]

#Clean the column name function
cleanColnames <- function(data, visName){
  # delete visName and . from column name of dataframe, only keep the terms as column name
  names(data) <- sub(paste(visName, ".", sep =""), "", names(data))
  names(data) <- sub("\\.", "", names(data))
  return(data)
}

# Clean column names for all data
data_sun <- cleanColnames(data_sun, "sunburst")
data_sun_ca <- cleanColnames(data_sun_ca, "sunburst")
data_beam <- cleanColnames(data_beam, "beamtree")
data_beam_ca <- cleanColnames(data_beam_ca, "beamtree")
data_star <- cleanColnames(data_star, "startree")
data_star_ca <- cleanColnames(data_star_ca, "startree")

Confirmatory Factor Analysis

CFA <- function(data){
  APV.model ='aesthetic_pleasure =~ enjoyable + likable + pleasing + nice + appealing'
  fit <- cfa(APV.model,data = data,std.lv = TRUE)
  
  pvalue <- fitMeasures(fit, "pvalue")
  tli <- fitMeasures(fit, "tli")
  cfi <- fitMeasures(fit, "cfi")
  srmr <- fitMeasures(fit, "srmr")
  rmsea <- fitMeasures(fit, "rmsea")
  
  good_fit_list <- NULL
  good_fit_list <- c(pvalue, tli, cfi, srmr, rmsea)
  
  
  summary(fit, fit.measures=T, standardized=TRUE)
  
  return(good_fit_list)
}

#CFA factor numbers
APV.model ='aesthetic_pleasure =~ enjoyable + likable + pleasing + nice + appealing'
fit1 <- cfa(APV.model,data = data_sun,std.lv = TRUE)


l1 <- lavInspect(fit1, what = "std.all", add.labels = TRUE, add.class = TRUE,
           list.by.group = TRUE,
           drop.list.single.group = TRUE)[[1]]

fit2 <- cfa(APV.model,data = data_star,std.lv = TRUE)
l2 <- lavInspect(fit2, what = "std.all", add.labels = TRUE, add.class = TRUE,
           list.by.group = TRUE,
           drop.list.single.group = TRUE)[[1]]

fit3 <- cfa(APV.model,data = data_beam,std.lv = TRUE)
l3 <- lavInspect(fit3, what = "std.all", add.labels = TRUE, add.class = TRUE,
           list.by.group = TRUE,
           drop.list.single.group = TRUE)[[1]]

df_factor_loading_cfa <- cbind(l1, l2, l3)
df_factor_loading_cfa

##           aesthetic_pleasure aesthetic_pleasure aesthetic_pleasure
## enjoyable          0.8934088          0.8776919          0.9108554
## likable            0.9142477          0.9245434          0.8739083
## pleasing           0.8888896          0.8948153          0.8926274
## nice               0.8452368          0.8772203          0.8876559
## appealing          0.9096641          0.8423809          0.8889816

good_fit_sun <- CFA(data_sun)
good_fit_star <- CFA(data_star)
good_fit_beam <- CFA(data_beam)

good_fit_table <- cbind(good_fit_sun, good_fit_star, good_fit_beam)
good_fit_table 

##        good_fit_sun good_fit_star good_fit_beam
## pvalue  0.289999205    0.22164625    0.01604389
## tli     0.997580176    0.99571328    0.98156124
## cfi     0.998790088    0.99785664    0.99078062
## srmr    0.009135926    0.01055442    0.01353385
## rmsea   0.034469107    0.04490826    0.09522884

Convergent Validity

con_vali <- function(data1, data2){ # results of two scales you want to calculate correlation
  cor.test(rowMeans(data1), rowMeans(data2), method = "pearson")
}

Discrinminant Validity

dis_vali <- function(data1){ # result of your scale
  cor.test(rowMeans(data1), data$age , method = "pearson")
}

Sunburst

CFA(data_sun)

##      pvalue         tli         cfi        srmr       rmsea 
## 0.289999205 0.997580176 0.998790088 0.009135926 0.034469107

con_vali(data_sun, data_sun_ca)

## 
##  Pearson's product-moment correlation
## 
## data:  rowMeans(data1) and rowMeans(data2)
## t = 21.454, df = 195, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.7909840 0.8753427
## sample estimates:
##       cor 
## 0.8381053

dis_vali(data_sun)

## 
##  Pearson's product-moment correlation
## 
## data:  rowMeans(data1) and data$age
## t = 1.033, df = 194, p-value = 0.3029
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.06688702  0.21191501
## sample estimates:
##        cor 
## 0.07395897

cronbach.alpha(data_sun)

## 
## Cronbach's alpha for the 'data_sun' data-set
## 
## Items: 5
## Sample units: 197
## alpha: 0.95

Startree

CFA(data_star)

##     pvalue        tli        cfi       srmr      rmsea 
## 0.22164625 0.99571328 0.99785664 0.01055442 0.04490826

con_vali(data_star, data_star_ca)

## 
##  Pearson's product-moment correlation
## 
## data:  rowMeans(data1) and rowMeans(data2)
## t = 25.384, df = 195, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.8391602 0.9051052
## sample estimates:
##       cor 
## 0.8761713

dis_vali(data_star)

## 
##  Pearson's product-moment correlation
## 
## data:  rowMeans(data1) and data$age
## t = 1.6617, df = 194, p-value = 0.09818
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.02205285  0.25439483
## sample estimates:
##      cor 
## 0.118466

cronbach.alpha(data_star)

## 
## Cronbach's alpha for the 'data_star' data-set
## 
## Items: 5
## Sample units: 197
## alpha: 0.946

Beamtree

CFA(data_beam)

##     pvalue        tli        cfi       srmr      rmsea 
## 0.01604389 0.98156124 0.99078062 0.01353385 0.09522884

con_vali(data_beam, data_beam_ca)

## 
##  Pearson's product-moment correlation
## 
## data:  rowMeans(data1) and rowMeans(data2)
## t = 24.339, df = 195, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.8279820 0.8982566
## sample estimates:
##       cor 
## 0.8673799

dis_vali(data_beam)

## 
##  Pearson's product-moment correlation
## 
## data:  rowMeans(data1) and data$age
## t = 1.9826, df = 194, p-value = 0.04882
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.0007843402 0.2756303317
## sample estimates:
##       cor 
## 0.1409215

cronbach.alpha(data_beam)

## 
## Cronbach's alpha for the 'data_beam' data-set
## 
## Items: 5
## Sample units: 197
## alpha: 0.95

#Cronbach's Alpha for CFA
df_alpha <- data.frame(matrix(ncol = 3, nrow = 0))
list_alpha <- c(cronbach.alpha(data_sun)$alpha, cronbach.alpha(data_star)$alpha,cronbach.alpha(data_beam)$alpha)
colnames(df_alpha) <- c("SunBurst", "StarTree", "BeamTree")
df_alpha[nrow(df_alpha) + 1,] <- list_alpha
row.names(df_alpha) <- "Cronbach’s Alpha"
df_alpha <- df_alpha %>% 
 mutate_if(is.numeric, round, digits=2)
df_alpha

##                  SunBurst StarTree BeamTree
## Cronbach’s Alpha     0.95     0.95     0.95

write.table(df_alpha, paste("results/cfa_alpha.tsv",sep=""),row.names=TRUE,col.names=NA,sep='\t')

# Pearson correlation
df_pearson <- data.frame(matrix(ncol = 3, nrow = 0))
list_pearson_con <- c(con_vali(data_sun, data_sun_ca)$estimate,con_vali(data_star, data_star_ca)$estimate,con_vali(data_beam, data_beam_ca)$estimate)
list_pearson_dis <- c(dis_vali(data_sun)$estimate,dis_vali(data_star)$estimate,dis_vali(data_beam)$estimate)
colnames(df_pearson) <- c("SunBurst", "StarTree", "BeamTree")
df_pearson[nrow(df_pearson) + 1,] <- list_pearson_con
df_pearson[nrow(df_pearson) + 1,] <- list_pearson_dis
row.names(df_pearson) <- c("Classic Aesthetic", "Age")
df_pearson <- df_pearson %>% 
 mutate_if(is.numeric, round, digits=2)
df_pearson

##                   SunBurst StarTree BeamTree
## Classic Aesthetic     0.84     0.88     0.87
## Age                   0.07     0.12     0.14

write.table(df_pearson, paste("results/cfa_pearson.tsv",sep=""),row.names=TRUE,col.names=NA,sep='\t')

Rating Results

This code calculates the average ratings each image received from participants and saves them as plots with CIs.

Setup

source("04_CFA/CI-Functions.R")
participantResponseFiles <- list.files(path= "04_CFA/data",pattern = "\\.csv$") #names correspond to images, one participant per row, one word per

Functions

This one cleans up the column names for each image’s responses

cleanColnames <- function(data){
  newNames <- gsub("^.+?\\.(.+?)\\..*$", "\\1", colnames(data))
  return(newNames)
}

This functions draws a bar chart with confidence intervals

barChart <- function(resultTable, techniques, nbTechs = -1, ymin, ymax, xAxisLabel = "I am the X axis", yAxisLabel = "I am the Y Label",plotTitle){
  #tr <- t(resultTable)
  if(nbTechs <= 0){
    stop('Please give a positive number of Techniques, nbTechs');
  }
  
  tr <- as.data.frame(resultTable)
  nbTechs <- nbTechs - 1 ; # seq will generate nb+1
  
  #now need to calculate one number for the width of the interval
  tr$CI2 <- tr$upperBound_CI - tr$mean
  tr$CI1 <- tr$mean - tr$lowerBound_CI
  
  #add a technique column
  tr$technique <- factor(seq.int(0, nbTechs, 1));
  
  breaks <- c(as.character(tr$technique));
  print(tr)
  g <- ggplot(tr, aes(x=technique, y=mean)) + 
    #   geom_bar(stat="identity",fill = I("#CCCCCC")) +
    geom_errorbar(aes(ymin=mean-CI1, ymax=mean+CI2),
                  width=0,                    # Width of the error bars
                  size = 1.1
    ) +
    #labs(title="Overall time per technique") +
    labs(x = xAxisLabel, y = yAxisLabel) + 
    scale_y_continuous(limits = c(ymin,ymax),breaks=1:7) +
    scale_x_discrete(name="",breaks,techniques)+
    coord_flip() +
    ggtitle(plotTitle) +
    theme(panel.background = element_rect(fill = 'white', colour = 'white'),axis.title=element_text(size = rel(1.2), colour = "black"),axis.text=element_text(size = rel(1.2), colour = "black"),panel.grid.major = element_line(colour = "#DDDDDD"),panel.grid.major.y = element_blank(), panel.grid.minor.y = element_blank())+
    geom_point(size=2, colour="black")         # dots
  
  print(g)
}

This next function calculates the CIs of each image’s responses depending on the scale items (terms) given.

calculateDrawResponseCIs <- function(scaleItems){


  imageCount <- length(participantResponseFiles)
  pointEstimateVector = c()
  lowerBoundVector = c()
  upperBoundVector = c()
  imageVector = c()
  
  for (image in 1:imageCount){
  
    data <- read.csv(paste("04_CFA/data/",participantResponseFiles[[image]],sep=""), encoding="UTF-8")
    #terms <- cleanColnames(data) 
    #colnames(data) <- terms
    
    #exploratory trying to see what would happen if we had had a lot fewer participants
    #data <- data[sample(nrow(data), 24), ]
    
    data <- data[scaleItems]
  
    means <- rowMeans(data)
    
    imageVector <- append(imageVector,image)
    ci <- bootstrapMeanCI(means)
    pointEstimateVector <- append(pointEstimateVector,ci[1])
    upperBoundVector <- append(upperBoundVector,ci[3])
    lowerBoundVector <- append(lowerBoundVector,ci[2])
  }
  
  df <- data.frame(image=imageVector,mean=pointEstimateVector,lowerBound_CI=lowerBoundVector,upperBound_CI=upperBoundVector)
  plotTitle <- paste(paste("Average Rating for the",length(scaleItems)),"item scale")
  barChart(df,df$image ,nbTechs = imageCount, ymin = 1, ymax = 7, "Image", "Average Ratings",plotTitle)
  ggsave(paste("results/",paste(plotTitle,".pdf",sep=""),sep=""), width=8, height=4,device=cairo_pdf)
  
  print(df)
  
  return(df)
}

As the ratings per image were done by different participant pools we don’t actually want to compare the ratings of each image.

generatePerImageTables <-function(dfs,titles){
  imageCounts <- length(participantResponseFiles)

  for(i in 1:imageCounts){
    pointEstimateVector = c()
    lowerBoundVector = c()
    upperBoundVector = c()
    scaleVector = c()
    
    dflength <- length(dfs)
    for(d in 1:dflength){
      scaleVector <- append(scaleVector,titles[d])
      df <- dfs[[d]]
      
      pointEstimateVector <- append(pointEstimateVector,df$mean[df$image==i])
      upperBoundVector <- append(upperBoundVector,df$upperBound_CI[df$image==i])
      lowerBoundVector <- append(lowerBoundVector,df$lowerBound_CI[df$image==i])
    }
    
    df <- data.frame(scale=scaleVector,mean=pointEstimateVector,lowerBound_CI=lowerBoundVector,upperBound_CI=upperBoundVector)
    plotTitle <- paste(paste("Image",i)," Ratings Per Scale")
    barChart(df,df$scale ,nbTechs = dflength, ymin = 1, ymax = 7, "Image", "Average Ratings",plotTitle)
    path<-paste("results/",paste(plotTitle,".pdf",sep=""),sep="")
    print(path)
    ggsave(path, width=8, height=4,device=cairo_pdf)
  }
}

And now we run our tests

Average Ratings for the Test Scale

data <- read.csv(paste("04_CFA/data/",participantResponseFiles[[1]],sep=""), encoding="UTF-8")
scaleItems <- colnames(data)
scaleItems

## [1] "enjoyable" "likable"   "pleasing"  "nice"      "appealing"

df31 <- calculateDrawResponseCIs(scaleItems)

##   image     mean lowerBound_CI upperBound_CI       CI2       CI1 technique
## 1     1 3.019289      2.820305      3.220305 0.2010152 0.1989848         0
## 2     2 3.824365      3.621320      4.019289 0.1949239 0.2030457         1
## 3     3 4.396954      4.203046      4.578268 0.1813133 0.1939086         2

##   image     mean lowerBound_CI upperBound_CI
## 1     1 3.019289      2.820305      3.220305
## 2     2 3.824365      3.621320      4.019289
## 3     3 4.396954      4.203046      4.578268